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[MUSIC]

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All right, welcome, everybody.

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We have a great show for you today.

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Welcome to How to Prepare for
the Technical Interview.

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My name is Ryan Carson and I'm the founder
and CEO of Treehouse, and I'm so

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glad that you all decide to join us today.

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Before we begin, I'd like to recognize
that there is a lot of work to

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do that needs to be done to make
the tech industry more inclusive.

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A survey from the US Equal
Opportunity Commission Bureau in 2019,

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estimated that Black, Latino and
indigenous people made up for

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only 16% of all tech workers while
they make up 33% of the population.

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While not all of that
33% is of working age,

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there's still an obvious
employment disparity.

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At Treehouse, we are taking steps toward
making the industry more inclusive.

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We want to create pathways for
everyone to succeed.

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We believe there is a place in tech for

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all people to thrive as
their most authentic self.

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Our hope is that you will help us to
empower more people with tools so

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that you can embark on your job journey.

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If you would like to learn more
about our commitment to inclusion,

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please visit teamtreehouse.com/about.

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Thousands of Treehouse students
are now taking part in our 100 days of

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code challenge.

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Transform your life by committing to learn
for 30 minutes a day for just 100 days.

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You'll have the support of the Treehouse
community of students working with you.

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Head to teamtreehouse.com/100daysofcode
to start your challenge.

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I also wanna point out,
there is a captioning link provided in

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the reception for those who would like
a live transcript of today's event.

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And now I'm happy to present Abraham
Paniagua as the guest speaker for today.

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Abraham is a senior
software engineer at Grail,

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a company that is working
on early cancer detection.

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He previously worked at Microsoft, where
he helped build a recommendation engine

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that was used to send recommendations
to millions of customers.

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For this Abraham used a batch and
stream processing infrastructure to manage

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logging, user events and
system level metrics.

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Prior to that, Abraham worked
at NASA as a network engineer.

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There he managed and applied security
best practices to a logical and

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physical network of more than 500 routers,
switches and security software.

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As a senior IT engineer at Amazon,
Abraham was the tech lead for

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large scale IT infrastructure projects.

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Abraham served in the United States Marine
Corps, where he was responsible for

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training a team of Marines.

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He also assisted other fellow Marines to
achieve their personal and academic goals.

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Abraham is a world traveler and

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enjoys volunteering his time
teaching people the joys of coding.

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Everyone, please welcome Abraham.

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>> Hello.

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>> It's good to have you here.

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>> Yeah, nice to see you,
nice to see everybody.

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I recognize some faces already, yeah.

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>> Thanks for joining, I know you're
busy and your time is valuable, and

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I really appreciate you
spend some time with us.

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I can see we've already
got 170 people joining us.

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Hello, Aaron, Patricia.

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Good to see you all.

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Feel free to in the chat, Abraham and
I are gonna be chatting and talking, but

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we're here for you all.

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So make sure to ask your
questions in the chat.

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Liz, who did all the hard
work to organize this event,

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she's gonna be grabbing your questions and
making sure that I ask them to Abraham.

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But please, chit chat in the comments,
share your LinkedIn profiles,

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whatever is helpful to you and
don't be shy.

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So, let's get started.

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Abraham, I read your intro, but why
don't you tell us just a little bit more

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about yourself and
what you're doing right now?

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>> Yeah, absolutely.

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So I'm currently working at Grail and
we're working on on cancer tests.

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It's kind of a cool,
bioinformatics company.

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I've previously I've worked in
social media products at Microsoft,

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very similar to like Slack,
or Facebook for work.

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And as you mentioned,
I also have experience at Amazon,

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where I let the infrastructure build.

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So let me type amazon.com,

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there's warehouses with people
that kinda ship your products,

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there's a lot of automation, a lot of IT
infrastructure that's involved in that.

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And for all these careers or
all these jobs that I had,

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I've worked with very intelligent people.

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Like they have various backgrounds, and
I feel like having a diversity of thought,

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or that diverse backgrounds will
help you kind of achieve your goals.

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And so whether you want to go into
bioinformatics to work in social media

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products or work in other areas.

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I feel that interviewing is like the first
face of that journey for a lot of people.

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>> Amen.

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>> And that's why I'm very passionate
of translate providers as my words of

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wisdom or like, again in my stories is
how to help people out and do better.

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>> Thank you.
Yes,

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the interview part is definitely scary.

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So I'm glad you're gonna give some
people some great advice today.

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The first question is about
the dreaded whiteboarding session,

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that can happen during an interview.

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Tell us what you know about being asked
to code on the whiteboard interview.

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What kind of questions you might get,

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really anything you think folks need to
know about that part of the interview.

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>> Yeah, the first thing is to kind of
understand the context of a whiteboard,

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understanding that whenever
somebody is asking you a quote,

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unquote whiteboarding interview.

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They're trying to get signal from you,
like,

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as far as how well you communicate,
how well you think about the problem.

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And then from that,
they will use it to gauge whether they

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want you to be working next to them,
essentially.

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And in order to prepare for
that whiteboard interview,

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you need to understand
it's just like a test.

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The same way you might take a GRE test or
SAT test,

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there's a lot of material out
there that you can prepare for.

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And that's why I've seen
a lot of candidates or

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a set of candidates be very successful.

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Because certain universities
are certain sets of I guess,

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curriculums if like, let's say that you
go to like a brown or MIT, or Harvard.

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They actually have classes on
teaching people how to get like,

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how to test very well on
those particular problems.

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So you don't necessarily need to
go to those schools to test well.

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But what you do need to do is Google like,
how do you leak code better?

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Or how do you whiteboard better?

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And there's this actually strategies,
and techniques, instead of

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questions that you can kind of go through
to get to actually prepare better.

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It usually take also, it takes around one
to three months to achieve a high success

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rate for companies such as Facebook,
Google, Microsoft, Amazon.

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And you need to treat your
preparation as you would treat

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any other academic endeavor.

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Or even I'll say like kind
of like running a marathon.

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You need to have a strategy
when you wake up.

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You say today I'm gonna
solve ten problems, or

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I'm going to solve eight problems.

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And you should have a whiteboard, right?

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Like, I have a whiteboard, and
you should write down your questions and

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then grind it through them.

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>> So practice, practice.

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>> Yeah, and
what has helped me out is finding people,

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we're kind of going through the same
process, because whiteboarding,

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interviewing, or interviewing in general
can be kind of an isolating task,

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especially when you have failures.

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And so finding that body or

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finding that working group that you
can kind of bounce ideas from with.

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That thing is very vital for
your sanity and for your success, right?

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That way you can treat it as a test
that you can take multiple times.

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>> Right.

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>> Let's say you apply to Amazon,
you take the test, you bomb it.

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Facebook is there, Google is there,
Team Treehouse is there,

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there's all these other companies
that you kind of try out your skills,

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your interviewing skills with.

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>> So your net said,

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is it one to three months of full
time preparation and practice?

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How many hours a week are you recommending
folks prep for the whiteboard part?

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>> Yeah, so if, I would say usually you
should have around 100 questions down,

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pat, meaning, like, let's say you have
never seen a leak code question before.

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From that moment on,

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getting to 100 questions usually takes
around one to three months, why?

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Because initially you'll struggle
with understanding what is it asking,

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what's the technique to actually solve it.

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And you'll be slowing
your language of choice.

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So let's say you're using Python, but you
forget how to do like string manipulation

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or some other type of data structures,
you forget how to be fluent with it.

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Then initial ramp up,
it will vary from person to person.

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So that's why I say one to three months.

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Some persons are already be very skilled,
might need a little bit less of a ramp-up.

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And some other person might need a full
ramp-up because maybe that's not what

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you're doing day to day.

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>> Got it.

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And you mentioned it but is there a
specific website folks can go to that will

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give them a good list of questions?

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>> Yeah, so
leakcode.com is what I recommend,

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that is I think the gold standard for.

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[INAUDIBLE] Your question back.

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Yeah.
>> Okay, cool.

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>> Yeah.

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>> Okay.

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Thanks, and
I saw you popped it in the chat.

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Hey, Kevin.

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Hello, Michael.

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Thanks for joining us.

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And thanks for joining us, Rudy.

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Fabiana, appreciate folks sharing
their LinkedIn profiles, too.

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And if you have questions for Abraham,
specifically on preparing for

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the tech interview,
please put them in now.

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And we'll try to get through as
many of the questions as we can.

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Here's one,
is LeetCode better than HackerRank?

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>> Yeah, I think both are good.

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The advantages over LeetCode is that
people actually post their experiences

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at a company, very similar to like
what you would get in Reddit.

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And so
you will get more authentic experiences,

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somebody who will be like,
I got this very difficult question.

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This is how I solved it.

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And many times you can get a feel for

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a company like the type of
questions that they asked.

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>> Got it.

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>> Yeah, and in HackerRank,
what's the other,

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HackerRank, is that what-
>> They just asked about LeetCode versus

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HackerRank.

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>> Yeah, and then HackerRank is like
they have more structured approach to

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asking you the same questions.

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So I say use both, and don't be afraid
to kind of, just search online for

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other resources but
don't get distracted, right?

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Also just use one or two resources.

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I'm trying to grind through it.

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Yeah.

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>> One more, Kate mentioned CodeWars.

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>> I think CodeWars is kind of cool too,
it kind of cater like a gamify things.

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But like I say, like don't get too
distracted like find one resource,

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and try to be consistent with it,
like the same way you might find a gym.

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And like which gym is better like
24-Hour Fitness or like some other gyms.

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>> Pick one.

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>> Yeah, pick one and just exercise,
and find a time that works for you.

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>> Cool.
>> I know when I was working full time,

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I would go to the library, and

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for two to three hours I would
go through the problems.

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When I was kind of working towards finding
a full-time role when I was unemployed or

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if unemployed or whatever,
what do you wanna call it?

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I would set up a strategy where it's
at four hours in the morning and

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then one hour in the evening.

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And during the other time,
I would focus on my mental game and

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my gym time, and applying to jobs, right?

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Cuz whenever you're interviewing or
whenever you're preparing,

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you're actually, you don't have
mental energy for other things,

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such as applying for actual job or
taking phone screens.

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>> Awesome.

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>> That is something you need to
kind of put into your schedule.

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>> Cool, love it, yeah.

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You're basically saying, pick a prep site
and commit the time consistently everyday,

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and just realize it's just
like going to the gym.

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You're just gonna have to pick a gym and
put in time for

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one to three months till you're ready.

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>> Yeah, absolutely, it is painful.

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I agree like the current interview
process, so quote, unquote,

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like people say it's broken, or
like it's not, we're not quite there yet.

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We haven't evolved to like the version
three or the version that actually

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provides enough signal to provide like
great candidates or diverse candidates.

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But the advantage or the pros of this is
now we know that there are systems out

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there, or there's resources out
there that help you level up.

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>> Got it.
>> And so

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this is the game that we're currently
playing, and so like I will say,

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just embrace it for now and
maybe once you get into tech, or

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00:13:38,202 --> 00:13:43,300
once you get into a particular job,
you can kind of change it from the inside.

233
00:13:43,300 --> 00:13:43,880
>> Got it.

234
00:13:43,880 --> 00:13:45,638
Okay.
I have a ton of good questions, but

235
00:13:45,638 --> 00:13:47,500
there's also some good ones coming in.

236
00:13:47,500 --> 00:13:52,506
One of them, Thomas Gilbert said,
should you focus on coding

237
00:13:52,506 --> 00:13:57,431
challenges or actual job related
skills prior to applying?

238
00:13:57,431 --> 00:13:58,890
>> Yeah, that's a good question.

239
00:13:58,890 --> 00:14:03,808
I'll say focusing on coding challenges
because that is what you're being tested

240
00:14:03,808 --> 00:14:04,730
on, right?

241
00:14:04,730 --> 00:14:10,041
Like the same way you, let's say
you're applying to school they want,

242
00:14:10,041 --> 00:14:12,090
like a college, right?

243
00:14:12,090 --> 00:14:16,393
They're testing you, you have a set of
tests that you need to take, such as SAT.

244
00:14:16,393 --> 00:14:19,439
And then there's other skills so
it's just, I don't know,

245
00:14:19,439 --> 00:14:23,128
like your study skills or like your
other habits of like, in physics like,

246
00:14:23,128 --> 00:14:25,842
how well do you know physics
if you're physics major.

247
00:14:25,842 --> 00:14:27,293
They won't test you on that.

248
00:14:27,293 --> 00:14:31,243
What you'll be testing on was
like the coding challenges,

249
00:14:31,243 --> 00:14:33,853
which is the LeetCode type questions.

250
00:14:33,853 --> 00:14:39,010
And it goes back to me explaining
like how, like the hiring process.

251
00:14:39,010 --> 00:14:42,178
This is like the game that would
currently have been playing for

252
00:14:42,178 --> 00:14:46,140
the last eight years, and I think it was
continued to remain like the same way.

253
00:14:46,140 --> 00:14:48,430
>> Okay, so prepare, prepare.

254
00:14:48,430 --> 00:14:52,750
>> Cuz preparing, it will help you down
the line in the next five to ten years.

255
00:14:52,750 --> 00:14:54,590
So it's good stuff.

256
00:14:54,590 --> 00:14:55,340
>> Great.

257
00:14:55,340 --> 00:15:01,552
Can you share about pair programming
in a technical interview?

258
00:15:01,552 --> 00:15:02,740
>> Yeah, absolutely.

259
00:15:02,740 --> 00:15:07,074
So pair programming would be, whenever
somebody is asking you a technical

260
00:15:07,074 --> 00:15:11,010
question, a lot of times they want
to see how well you collaborate.

261
00:15:12,110 --> 00:15:17,750
And think on the fly as
it relates to a problem.

262
00:15:17,750 --> 00:15:20,422
And so many times getting feedback,

263
00:15:20,422 --> 00:15:25,171
like reacting to feedback
appropriately is part of the process.

264
00:15:25,171 --> 00:15:27,200
[COUGH] Excuse me.

265
00:15:27,200 --> 00:15:28,550
>> No problem.

266
00:15:28,550 --> 00:15:29,380
>> Yeah.

267
00:15:29,380 --> 00:15:30,040
>> You get some water if you want.

268
00:15:30,040 --> 00:15:35,240
>> So, [COUGH] yeah,
I got excited with pair programming.

269
00:15:35,240 --> 00:15:40,209
Yeah, so I would say,
just be very conscious about

270
00:15:40,209 --> 00:15:43,212
[COUGH] what people are-
>> No problem.

271
00:15:48,300 --> 00:15:50,772
Been there before,
coughing at the wrong time.

272
00:15:50,772 --> 00:15:52,874
[LAUGH]

273
00:16:01,753 --> 00:16:04,153
While Abraham is getting that cough out,

274
00:16:04,153 --> 00:16:07,680
I just wanna thank everybody for
joining us today.

275
00:16:07,680 --> 00:16:10,100
And keep your questions coming in.

276
00:16:10,100 --> 00:16:14,729
This whole session is designed to really
take Abraham's experience, getting

277
00:16:14,729 --> 00:16:19,510
through technical interviews and shedding
some of that knowledge out to you all.

278
00:16:21,090 --> 00:16:22,370
>> Yeah, I think I'm ready.

279
00:16:22,370 --> 00:16:23,140
>> Okay, good.

280
00:16:23,140 --> 00:16:24,570
[LAUGH] It's okay,
if you just cough it out.

281
00:16:24,570 --> 00:16:26,670
Don't worry.

282
00:16:26,670 --> 00:16:28,010
So we're talking about pair programming.

283
00:16:29,720 --> 00:16:30,230
>> Yeah, yeah.

284
00:16:30,230 --> 00:16:35,701
So I would say just when
somebody gives you feedback,

285
00:16:35,701 --> 00:16:40,090
just understand, be able to adjust to it.

286
00:16:40,090 --> 00:16:45,070
Don't get, I guess scared or just think
about it as a collaborative exercise.

287
00:16:45,070 --> 00:16:48,883
Something that you will do anyways, when
you get the job or when you're working is

288
00:16:48,883 --> 00:16:52,850
like, you want to be able to see, hey,
do I wanna work with this person?

289
00:16:52,850 --> 00:16:53,800
So, it's a two-way street.

290
00:16:53,800 --> 00:16:59,170
Not only are they getting signal from you,
you're getting signal from them.

291
00:16:59,170 --> 00:17:04,852
Whether, is this the type of place
that I'll be happy working in?

292
00:17:04,852 --> 00:17:09,386
And so like, many times, I would even
stop an interview and say, hey, look,

293
00:17:09,386 --> 00:17:14,060
like this is not the type of place I'm in,
like image that I'm working.

294
00:17:14,060 --> 00:17:16,610
And I appreciate your time.

295
00:17:16,610 --> 00:17:18,550
I don't think it's going
to be a great fit.

296
00:17:19,580 --> 00:17:23,410
And that's the attitude that you
need go in into an interview.

297
00:17:23,410 --> 00:17:26,062
It's like you're gauging the fact, or

298
00:17:26,062 --> 00:17:29,806
you're gauging whether you
want to work at that place and

299
00:17:29,806 --> 00:17:34,258
whether that's a place that's going
to help you get to your goals.

300
00:17:34,258 --> 00:17:36,002
>> [INAUDIBLE] Place for you.

301
00:17:36,002 --> 00:17:38,370
So as we're comparing programming,

302
00:17:38,370 --> 00:17:42,884
how important is it to talk out loud
about what you're thinking and how,

303
00:17:42,884 --> 00:17:48,350
tell us about what you should be doing
in the pair programming exercise.

304
00:17:48,350 --> 00:17:51,476
>> Yeah, so like,
since you're trying to get the signal,

305
00:17:51,476 --> 00:17:54,680
I would say you should talk
about the various approaches.

306
00:17:54,680 --> 00:17:57,498
So like, I even talked about
the big O notation of, or

307
00:17:57,498 --> 00:18:00,140
like the various complexities
of your solution.

308
00:18:00,140 --> 00:18:03,727
So like, you might have a brute force
approach that you thought about at first

309
00:18:03,727 --> 00:18:05,340
and you should like verbalize it.

310
00:18:05,340 --> 00:18:09,420
Hey, look, I'm thinking of doing
it in this manner, but maybe not.

311
00:18:09,420 --> 00:18:13,260
Maybe there's another approach but
I can't really think about it right now.

312
00:18:13,260 --> 00:18:15,620
Would it be okay that maybe
we approach it this way?

313
00:18:15,620 --> 00:18:18,810
And maybe once I have more time,
we can approach this this other way.

314
00:18:18,810 --> 00:18:22,760
And they'll be like, no, no, no,
you need an optimal approach.

315
00:18:22,760 --> 00:18:27,900
And then you'll be like, okay, and then
let's think about the optimal approach.

316
00:18:27,900 --> 00:18:31,754
And then you talk about how
would you go about it, and

317
00:18:31,754 --> 00:18:36,583
then you can collaborate with
the person in front of you, right?

318
00:18:36,583 --> 00:18:38,780
They're not just the wall right there.

319
00:18:38,780 --> 00:18:41,290
They're living breathing things.

320
00:18:41,290 --> 00:18:44,000
>> And how do you,
how can you practice that,

321
00:18:44,000 --> 00:18:46,944
the pair programming interview experience?

322
00:18:46,944 --> 00:18:50,510
I would say find a buddy, they don't
necessarily have to be your friend.

323
00:18:51,690 --> 00:18:56,114
With somebody that like in the same
mindset, somebody that they can commit,

324
00:18:56,114 --> 00:18:58,718
think about it like a gym
buddy like I'd say.

325
00:18:58,718 --> 00:19:01,890
Like if somebody is committed
to doing two hours a day.

326
00:19:01,890 --> 00:19:04,386
Find the other person
who would motivate you,

327
00:19:04,386 --> 00:19:06,882
because a lot of times
when you're studying or

328
00:19:06,882 --> 00:19:10,726
when you're doing pair programming,
you might not feel high energy.

329
00:19:10,726 --> 00:19:15,659
Or you might be sick, or
I quote, unquote, sick, and

330
00:19:15,659 --> 00:19:20,650
so finding that extra
energy outside of you.

331
00:19:20,650 --> 00:19:24,082
Not only helps you in
motivating some other people,

332
00:19:24,082 --> 00:19:27,829
it motivates you to write like
if you're in it together.

333
00:19:27,829 --> 00:19:32,819
And so it goes hand in hand with
you're actually getting practice on

334
00:19:32,819 --> 00:19:35,631
how to verbalize a lot of these ideas.

335
00:19:35,631 --> 00:19:40,716
And only that you're finding
somebody who consistently can kind

336
00:19:40,716 --> 00:19:45,710
of give you that energy whenever
you don't feel like practicing

337
00:19:45,710 --> 00:19:50,564
on a Friday morning or wherever it is,
>> It has been like a gym buddy.

338
00:19:50,564 --> 00:19:51,341
I love that.

339
00:19:51,341 --> 00:19:53,440
Okay.

340
00:19:53,440 --> 00:19:57,027
What other forms of technical
interviewing are there?

341
00:19:57,027 --> 00:20:01,460
Algorithmic questions, take home, etc,
just walk us through all the types.

342
00:20:02,470 --> 00:20:08,574
Yeah, so there's the phone screen which
is usually done on quarter pad or

343
00:20:08,574 --> 00:20:10,320
hacker rank.

344
00:20:10,320 --> 00:20:14,804
That's one that's usually stages
when they're trying to gauge your

345
00:20:14,804 --> 00:20:16,330
technical abilities.

346
00:20:16,330 --> 00:20:20,715
The other one will be a take home
which is they gives you a reactor and

347
00:20:20,715 --> 00:20:25,567
your project or some back end projects and
they say hey, in 3 to 6 hours,

348
00:20:25,567 --> 00:20:28,680
do some work on it, and then submit it.

349
00:20:28,680 --> 00:20:33,010
And then the third one it'll
be like more for onsite.

350
00:20:33,010 --> 00:20:40,220
It's called as a system design interview
which talks about distributed systems.

351
00:20:40,220 --> 00:20:43,950
So like how would you scale
Twitter to millions of users?

352
00:20:43,950 --> 00:20:46,470
Or how would you scale Facebook
to millions of users or

353
00:20:46,470 --> 00:20:47,875
Airbnb to millions of users?

354
00:20:47,875 --> 00:20:53,940
It's one thing to create a application for
10 users, or a product for 10 users but

355
00:20:53,940 --> 00:20:59,585
it's another skill to understand how do
you build out the IT infrastructure and

356
00:20:59,585 --> 00:21:04,050
the system infrastructure to
scale to multiple computers.

357
00:21:04,050 --> 00:21:05,651
>> Interesting.
>> Those are the three types of

358
00:21:05,651 --> 00:21:06,420
interviews.

359
00:21:06,420 --> 00:21:11,222
And I would say the lead codes type
interviews the phone screens, those

360
00:21:11,222 --> 00:21:16,602
are the type of interviews that you can
get really good in a short amount of time.

361
00:21:16,602 --> 00:21:23,020
The take homes those are mixed bag because
you don't know how they will grade you.

362
00:21:23,020 --> 00:21:26,985
So you might do the best project in
the world, but if the other person does

363
00:21:26,985 --> 00:21:31,700
not understand where you're coming from,
they might just say no pass.

364
00:21:31,700 --> 00:21:35,531
And I give you enough feedback for
you to improve.

365
00:21:35,531 --> 00:21:40,340
The system design it's a different
type of ballgame altogether.

366
00:21:40,340 --> 00:21:45,992
So, I'll say you should prepare 70% of
the time, you should focus on the lead

367
00:21:45,992 --> 00:21:52,140
cutter questions and then the other extra
percent will be on the system design.

368
00:21:52,140 --> 00:21:56,588
>> Got it.
>> And then the take home is you should be

369
00:21:56,588 --> 00:21:59,583
coding for fun on the side.

370
00:21:59,583 --> 00:22:04,474
Or I would even say don't take the take
homes if a company is not willing to put

371
00:22:04,474 --> 00:22:08,755
the effort to put an engineer in
front of you and work with you well,

372
00:22:08,755 --> 00:22:13,496
I guess that's very symmetrical,
it doesn't feel like a good company,

373
00:22:13,496 --> 00:22:16,910
I would say so that's my personal opinion.

374
00:22:16,910 --> 00:22:18,610
>> Okay, that's interesting.

375
00:22:18,610 --> 00:22:23,292
But Toria was just saying that it's
terrifying to do pair programming,

376
00:22:23,292 --> 00:22:27,830
what's one piece of advice you can
get just for getting through that?

377
00:22:30,070 --> 00:22:32,978
>> Yeah, so with pair programming,

378
00:22:32,978 --> 00:22:39,200
I'll say just it depends on I guess,
what part of it is terrifying.

379
00:22:39,200 --> 00:22:42,083
Is it the fact that you're
meeting somebody brand new and

380
00:22:42,083 --> 00:22:45,350
they're asking you a very
technical question out of nowhere?

381
00:22:45,350 --> 00:22:49,880
Or is it the fact that you
feel that you might fail?

382
00:22:51,530 --> 00:22:57,072
I'd say depending on where you're coming
from, but I will say just practicing

383
00:22:57,072 --> 00:23:03,200
a lot with other people like strangers is
a good way to get that out of your system.

384
00:23:03,200 --> 00:23:06,950
And so
I recommend a website such as cramp.com.

385
00:23:06,950 --> 00:23:12,163
And I used to do like one or
two a day for like a month in the third

386
00:23:12,163 --> 00:23:17,187
day that allowed me to get that
out of the system very fast.

387
00:23:17,187 --> 00:23:21,015
And, yeah, it's just like a repetition and

388
00:23:21,015 --> 00:23:25,349
you shouldn't be afraid to
showcase your skills or

389
00:23:25,349 --> 00:23:29,199
your understanding of the problem, right?

390
00:23:29,199 --> 00:23:33,960
Because a lot of these problems there's
multiple ways to solve the same thing.

391
00:23:33,960 --> 00:23:39,182
So that's,
>> And they're saying, what if your mind

392
00:23:39,182 --> 00:23:45,470
kinda goes blank and you feel like
you need time what do you do?

393
00:23:45,470 --> 00:23:49,641
>> So, you should have a structured
approach and the structure approach comes

394
00:23:49,641 --> 00:23:53,942
with there's a lot of good companies out
there a lot of websites that will say,

395
00:23:53,942 --> 00:23:55,390
first state the problem.

396
00:23:56,480 --> 00:24:00,528
After you state the problem
provide the edge cases,

397
00:24:00,528 --> 00:24:07,450
the inputs that might break your program,
and they can obviously clarify things.

398
00:24:07,450 --> 00:24:09,870
And then third,
find a brute force approach.

399
00:24:09,870 --> 00:24:13,000
>> Once you find a brute force approach,
what is the next logical thing?

400
00:24:13,000 --> 00:24:16,360
Find an optimal approach and
after you find the optimal approach,

401
00:24:16,360 --> 00:24:18,400
you talk about it with the interviewer,

402
00:24:18,400 --> 00:24:20,980
then you code it up,
>> Got it.

403
00:24:20,980 --> 00:24:24,810
>> And so if you freeze in any one of
those areas once you practice it in

404
00:24:24,810 --> 00:24:27,876
that manner, you will know like,
Hey look, okay,

405
00:24:27,876 --> 00:24:30,590
I couldn't go to the optimal approach.

406
00:24:30,590 --> 00:24:33,790
So maybe I'll stay in
the brute force approach.

407
00:24:33,790 --> 00:24:37,017
Many times that's good enough for
a lot of these interviews,

408
00:24:37,017 --> 00:24:40,240
because they just want to
see your thought process.

409
00:24:40,240 --> 00:24:41,540
>> Got it.

410
00:24:41,540 --> 00:24:44,276
So for instance, if you're saying listen,

411
00:24:44,276 --> 00:24:48,510
I'm gonna think through
the brute force approach here.

412
00:24:48,510 --> 00:24:51,924
I feel I think that this is
the data structure that I wanna use

413
00:24:51,924 --> 00:24:54,630
to solve this and
this is why I'm gonna do it.

414
00:24:54,630 --> 00:24:58,753
I know that might not be optimal, but
are you comfortable with me thinking

415
00:24:58,753 --> 00:25:01,547
through the brute force approach for
a minute, or

416
00:25:01,547 --> 00:25:05,890
would you rather me to sit back and
think through the optimal approach first?

417
00:25:05,890 --> 00:25:07,649
And like you said,
then they'll direct you.

418
00:25:07,649 --> 00:25:11,250
But I think just talk thinking out loud,
it sounds like that's what you're saying.

419
00:25:11,250 --> 00:25:16,188
Think out loud and have a structured
approach that you can walk through

420
00:25:16,188 --> 00:25:19,210
to help you kind of when
you start to panic.

421
00:25:20,760 --> 00:25:25,284
>> Yeah, exactly and so it goes back
to repetition that's why I say Hey,

422
00:25:25,284 --> 00:25:29,042
you should go to the gym or
go to your interviewing gym one or

423
00:25:29,042 --> 00:25:33,492
two hours every day and then when you
actually have a real interview is

424
00:25:33,492 --> 00:25:37,664
just an extension of what you've
been doing every day up to now.

425
00:25:37,664 --> 00:25:40,901
>> Got it.

426
00:25:40,901 --> 00:25:43,345
If you practice in that
way it'll be rare for

427
00:25:43,345 --> 00:25:46,540
you to blank out just
like straight black out.

428
00:25:46,540 --> 00:25:52,482
And so that's why typically I would
say just the first couple of weeks

429
00:25:52,482 --> 00:25:59,143
just do pranks and then go to the real
interviews then to the real companies and

430
00:25:59,143 --> 00:26:03,570
then have a strategy how
you wanna spread them out.

431
00:26:03,570 --> 00:26:04,310
>> Got it.

432
00:26:04,310 --> 00:26:08,831
So don't do all the interviews day after
day, like do one, learn from it and

433
00:26:08,831 --> 00:26:11,750
then schedule one, a week later.

434
00:26:11,750 --> 00:26:15,650
>> Yeah, I think there's a lot of
strategies out there for first how to

435
00:26:15,650 --> 00:26:21,090
schedule the interview depending on what
type of companies or what your goals are.

436
00:26:21,090 --> 00:26:25,900
You can just go on blind.com I'll say
even blind.com is another resource or

437
00:26:25,900 --> 00:26:28,720
read it see it's career questions.

438
00:26:28,720 --> 00:26:29,876
>> Got it.
Okay,

439
00:26:29,876 --> 00:26:35,322
Ryan's asking what do
you mean by brute force?

440
00:26:35,322 --> 00:26:40,356
Brute force will be whenever you
solve a algorithmic challenge or

441
00:26:40,356 --> 00:26:46,487
any type of problem, there's quote unquote
the naive approach or the approach

442
00:26:46,487 --> 00:26:51,905
that comes into your head without
you really thinking about a deeply.

443
00:26:51,905 --> 00:26:56,848
And that's usually the brute force
approach, but it takes maybe more memory,

444
00:26:56,848 --> 00:26:58,580
more CPU time.

445
00:26:58,580 --> 00:27:03,560
And then once you really think about the
problem, then there's an optimal approach.

446
00:27:03,560 --> 00:27:08,186
Typically, the way you would say
this is something called big O

447
00:27:08,186 --> 00:27:12,120
notation is like what we
talked about in interviews.

448
00:27:12,120 --> 00:27:14,984
It's just how much compute and

449
00:27:14,984 --> 00:27:20,410
how much memory does your
particular solution take?

450
00:27:20,410 --> 00:27:23,720
And then you can compare
two possible solutions.

451
00:27:23,720 --> 00:27:26,139
And one would always be more
optimal than the other and

452
00:27:26,139 --> 00:27:29,760
there's always the most optimal solution
and you cannot get better than that.

453
00:27:29,760 --> 00:27:30,859
>> Got it
>> And

454
00:27:30,859 --> 00:27:35,487
that's typically what
the interviewer is looking for.

455
00:27:35,487 --> 00:27:40,850
But don't feel that you have to
find that optimal solution, because

456
00:27:40,850 --> 00:27:47,740
many computer scientists have spend years
trying to figure out these problems.

457
00:27:47,740 --> 00:27:50,712
And many times they expect you to solve
them in 30 minutes or 40 minutes.

458
00:27:50,712 --> 00:27:52,188
>> That's right.
>> That's unrealistic, right?

459
00:27:52,188 --> 00:27:55,720
>> [LAUGH]
>> So that's why I'll say you should focus

460
00:27:55,720 --> 00:28:00,390
on preparing based on
the question bank from the code.

461
00:28:00,390 --> 00:28:05,540
And if you cannot find the optimal
approach, that's fine people take years.

462
00:28:05,540 --> 00:28:06,722
>> Right.
>> To figure this out.

463
00:28:06,722 --> 00:28:08,560
>> Got it.

464
00:28:08,560 --> 00:28:10,850
There's a lot of good questions coming in.

465
00:28:12,150 --> 00:28:15,218
One of them that we had pre-prepared for
you though is,

466
00:28:15,218 --> 00:28:19,150
what happens if you get asked a question
and you don't know the answer?

467
00:28:22,681 --> 00:28:27,538
>> I think it depends on
what type of question it

468
00:28:27,538 --> 00:28:31,750
is if it's an algorithmic question.

469
00:28:33,770 --> 00:28:38,330
>> Like I said, you should have a plan
like, the first plan was clarification.

470
00:28:38,330 --> 00:28:40,490
If you're stuck, what are you asking?

471
00:28:40,490 --> 00:28:45,464
What do you mean by this question and
keep on asking them until you're clearly

472
00:28:45,464 --> 00:28:48,462
defined the question
out of the interviewer.

473
00:28:48,462 --> 00:28:53,950
And then after that, then you can
have your first approach to it.

474
00:28:53,950 --> 00:28:55,952
And is really this what you mean?

475
00:28:55,952 --> 00:28:57,566
And then you can ask that.

476
00:28:57,566 --> 00:29:00,095
If you get stuck because you're nervous,

477
00:29:00,095 --> 00:29:04,740
that means that you just haven't
done enough mock interviews.

478
00:29:04,740 --> 00:29:08,609
And typically I know that there's
a lot of literature out there and

479
00:29:08,609 --> 00:29:12,617
a lot of statistics that it takes
around like 6 to 10 interviews for

480
00:29:12,617 --> 00:29:14,960
you to be able to perform well.

481
00:29:14,960 --> 00:29:18,063
>> Got it.
>> And you can go to Interviewing.io is

482
00:29:18,063 --> 00:29:23,782
another company that they provide
a lot of information on interviewing.

483
00:29:23,782 --> 00:29:26,271
You can look at their blog and

484
00:29:26,271 --> 00:29:31,666
they talk about how they basically
tested two sets of people,

485
00:29:31,666 --> 00:29:38,010
some that actually did around 8 mock
interviews and some that didn't.

486
00:29:38,010 --> 00:29:43,483
And the ones who did around 8 mock
interviews wherever's from statistically,

487
00:29:43,483 --> 00:29:46,309
significantly better than their peers.

488
00:29:46,309 --> 00:29:47,990
>> Wow, so do the work.

489
00:29:49,100 --> 00:29:49,617
>> Yeah.
So I

490
00:29:49,617 --> 00:29:54,210
would say just do the mock interviews and
get the nervousness out of your system.

491
00:29:54,210 --> 00:29:55,070
>> Great.

492
00:29:55,070 --> 00:30:00,064
I mean, and if in the end you
still don't know the answer

493
00:30:00,064 --> 00:30:03,596
is it okay to say I don't know.

494
00:30:03,596 --> 00:30:06,399
I'm gonna start searching and
Googling to try to figure this out.

495
00:30:06,399 --> 00:30:08,031
Or is it.

496
00:30:08,031 --> 00:30:12,173
>> I would say if I were preparing you
if you were my [INAUDIBLE] that I was or

497
00:30:12,173 --> 00:30:16,317
we're gonna be there together for
this interview thing I'd say no,

498
00:30:16,317 --> 00:30:20,104
that's not good enough,
let's find out why that happened and

499
00:30:20,104 --> 00:30:22,750
let's not have that happen again.

500
00:30:22,750 --> 00:30:24,950
Initially, I'll say let's
patch up your leaks.

501
00:30:24,950 --> 00:30:31,772
Maybe it's a question on trees, or
maybe the method question is what got you.

502
00:30:31,772 --> 00:30:36,705
So the analogy I would use, maybe
today was like these are the leg day.

503
00:30:36,705 --> 00:30:38,064
Maybe you need to do more legs.

504
00:30:38,064 --> 00:30:40,125
>> Right.
>> Maybe the bench press got you and

505
00:30:40,125 --> 00:30:42,570
maybe you need to do more bench press.

506
00:30:42,570 --> 00:30:45,219
>> Cool.
>> Similarly with algorithmic questions,

507
00:30:45,219 --> 00:30:50,133
that's around ten sets of questions or ten
types of questions that you can train for.

508
00:30:50,133 --> 00:30:51,290
>> Okay.

509
00:30:51,290 --> 00:30:54,220
>> And you can actually spread them out.

510
00:30:54,220 --> 00:30:58,629
Depending on how you're training like
Monday's will be treated on Tuesday to

511
00:30:58,629 --> 00:30:59,364
strength and

512
00:30:59,364 --> 00:31:03,989
on Wednesdays you will do like dynamic
programming or some other type of problem.

513
00:31:03,989 --> 00:31:04,692
>> Cool.

514
00:31:04,692 --> 00:31:09,399
>> And each person will have their own
favorite questions, can confer for

515
00:31:09,399 --> 00:31:11,680
questions that they're good at.

516
00:31:11,680 --> 00:31:15,460
And then they will have questions
that they're not so good at.

517
00:31:15,460 --> 00:31:17,071
>> Yeah.
>> And you might get unlucky and

518
00:31:17,071 --> 00:31:20,650
you might get asked that and so
there's a lot of variance in it.

519
00:31:20,650 --> 00:31:25,411
And in order to reduce the variance,
I would say just have a strategy to

520
00:31:25,411 --> 00:31:29,820
practice on your weak spots,
to focus on the weak spots.

521
00:31:29,820 --> 00:31:31,210
>> Yeah, I appreciate that.

522
00:31:31,210 --> 00:31:34,950
Okay, thank you.

523
00:31:34,950 --> 00:31:39,270
What tips do you have for explaining
your coding process to interviewers?

524
00:31:41,610 --> 00:31:43,732
>> Explaining the coding process.

525
00:31:43,732 --> 00:31:45,540
>> You're talking out loud.

526
00:31:45,540 --> 00:31:47,598
So what tips do you have for that?

527
00:31:47,598 --> 00:31:52,359
>> Yeah, so within your language,
let's say it's JavaScript or

528
00:31:52,359 --> 00:31:58,100
Python, there's certain
terminology that's very technical.

529
00:31:58,100 --> 00:32:02,120
And is very specific to
the language that you're using.

530
00:32:02,120 --> 00:32:08,903
So for example in JavaScript be closure in
Python will be I don't know, dictionaries,

531
00:32:08,903 --> 00:32:14,417
like having that in your repertoire or
at least reading blogs about it.

532
00:32:14,417 --> 00:32:17,020
And understanding the language
that you're using does matter.

533
00:32:18,280 --> 00:32:19,712
That would help you out.

534
00:32:19,712 --> 00:32:21,760
That's first stage, right?

535
00:32:21,760 --> 00:32:23,600
He can't say the thingamajigger.

536
00:32:23,600 --> 00:32:24,195
Right?
>> Right.

537
00:32:24,195 --> 00:32:25,880
>> [LAUGH]
>> That wouldn't help you out.

538
00:32:25,880 --> 00:32:30,808
And so,
I might even have a list like the weeks

539
00:32:30,808 --> 00:32:36,018
before I go on an interview,
I would remember.

540
00:32:36,018 --> 00:32:42,200
I'll write down the various names for a
particular language that I'm interviewing.

541
00:32:42,200 --> 00:32:46,130
And so that way it comes out fluently,
right?

542
00:32:46,130 --> 00:32:50,049
I might mispronounce this sort of thing,
but I would wanna practice it.

543
00:32:50,049 --> 00:32:53,461
And so
by doing the research beforehand and

544
00:32:53,461 --> 00:32:58,202
understanding the specific
language that you might use for

545
00:32:58,202 --> 00:33:03,889
your interview, I think that that
will help you communicate better and

546
00:33:03,889 --> 00:33:07,430
be able to express yourself adequately.

547
00:33:07,430 --> 00:33:09,130
Yeah.
>> All right.

548
00:33:09,130 --> 00:33:14,418
I mean, there's a consistent theme to this
conversation which is preparation and

549
00:33:14,418 --> 00:33:15,180
hard work.

550
00:33:16,830 --> 00:33:19,410
And I appreciate that.

551
00:33:19,410 --> 00:33:24,227
One person said you're talking
about ten specific questions.

552
00:33:24,227 --> 00:33:25,212
>> Yes.

553
00:33:25,212 --> 00:33:28,425
>> Could you tell us what those are?

554
00:33:28,425 --> 00:33:30,081
Yeah.

555
00:33:30,081 --> 00:33:35,782
So if you go to any computer
science course like introductory

556
00:33:35,782 --> 00:33:41,486
computer science or
more specifically algorithmic class,

557
00:33:41,486 --> 00:33:46,069
they'll start with the race,
then strengths,

558
00:33:46,069 --> 00:33:51,210
the other ones will be linked list, trees.

559
00:33:51,210 --> 00:33:52,990
What's the other one, grass?

560
00:33:54,860 --> 00:33:55,580
What's.

561
00:33:55,580 --> 00:33:57,230
>> I'm testing?

562
00:33:57,230 --> 00:33:58,320
>> Yeah.
And then I forget.

563
00:33:58,320 --> 00:34:01,590
So basically, those are this like seven or
eight, right?

564
00:34:01,590 --> 00:34:04,083
And those are the different
components that you can kind of spend

565
00:34:04,083 --> 00:34:05,300
a lot of time in.

566
00:34:05,300 --> 00:34:08,450
So trees are very related to grass.

567
00:34:08,450 --> 00:34:11,333
And so that's why they teach
you about trees first, and

568
00:34:11,333 --> 00:34:13,500
then they teach you about grass.

569
00:34:13,500 --> 00:34:14,180
>> Okay.

570
00:34:14,180 --> 00:34:18,852
>> And these concepts, I would say once
you get a breadth of knowledge of all

571
00:34:18,852 --> 00:34:23,522
these concepts, then you'll find your
favorite topics, I hear a lot of

572
00:34:23,522 --> 00:34:28,640
people saying trees are my favorite
topics, grass are my favorite topic.

573
00:34:28,640 --> 00:34:30,570
And why is that, right?

574
00:34:30,570 --> 00:34:35,389
Most of the times because maybe the way
it got introduced to you, was fun or

575
00:34:35,389 --> 00:34:39,470
you maybe got really good at
it compared to your peers.

576
00:34:39,470 --> 00:34:44,149
And that's why I would say that
they can typically get a feel for

577
00:34:44,149 --> 00:34:46,361
what do you like and enjoy it.

578
00:34:46,361 --> 00:34:50,374
It can be fun like this
process can be fun, and

579
00:34:50,374 --> 00:34:56,392
that's why I like tried to think
about this as like a gamification or

580
00:34:56,392 --> 00:35:00,214
like going to the gym or whatever analogy.

581
00:35:00,214 --> 00:35:05,034
Whatever keep me motivated
is the same cane answer that

582
00:35:05,034 --> 00:35:07,349
used the same ideas,
>> Right

583
00:35:07,349 --> 00:35:08,480
>> From your background.

584
00:35:08,480 --> 00:35:11,963
>> Yeah, I like how you're talking
about it in a gym sense, and

585
00:35:11,963 --> 00:35:14,870
I guess I understand the gym
cuz I used to go a lot.

586
00:35:14,870 --> 00:35:18,654
But this idea of yeah,
legs back, chest, shoulders,

587
00:35:18,654 --> 00:35:23,726
abs you're gonna have your favorite,
but you still have to go back and work

588
00:35:23,726 --> 00:35:30,070
on the one that you're weakest on, and get
to the point where you feel good about it.

589
00:35:30,070 --> 00:35:35,070
So we've only got about four more minutes
before we go into full blown Q&A.

590
00:35:35,070 --> 00:35:38,420
So I'm gonna ask you a couple more
of our pre-prepared questions.

591
00:35:38,420 --> 00:35:40,613
And just wanna tell everyone,
thank you for joining.

592
00:35:40,613 --> 00:35:42,720
It's good to see you here.

593
00:35:42,720 --> 00:35:47,039
Love your questions, keep them coming in,
and we'll get through as many as we can.

594
00:35:47,039 --> 00:35:48,940
So let's talk about the portfolio.

595
00:35:48,940 --> 00:35:50,770
What should a portfolio have?

596
00:35:52,070 --> 00:35:54,880
And how do we speak about
a portfolio to interviewers?

597
00:35:56,310 --> 00:36:00,520
>> I think it depends on what when
you what we mean by portfolio,

598
00:36:00,520 --> 00:36:03,495
because there's frontend developers and

599
00:36:03,495 --> 00:36:08,790
there's backend developers and
there's full stack developers.

600
00:36:08,790 --> 00:36:14,307
Usually what I encourage people to do is
instead of focusing on the portfolio,

601
00:36:14,307 --> 00:36:16,731
like focus on your fundamentals,

602
00:36:16,731 --> 00:36:22,250
which is the algorithmic questions
that they'll be asking you.

603
00:36:22,250 --> 00:36:27,033
Why do I advocate for this is because
like a portfolio is something that

604
00:36:27,033 --> 00:36:32,301
somebody one day they might they might
say hey like I like your portfoli,o and

605
00:36:32,301 --> 00:36:36,051
then the next day they might
have a different opinion.

606
00:36:36,051 --> 00:36:40,213
Like if you're interviewing for
algorithmic questions you can consistently

607
00:36:40,213 --> 00:36:43,700
figure out how well you're doing,
because it's a test.

608
00:36:43,700 --> 00:36:44,250
>> Got it.

609
00:36:44,250 --> 00:36:48,065
>> So and
this is coming from my experience,

610
00:36:48,065 --> 00:36:53,079
from ten plus years of
experience of going through this

611
00:36:53,079 --> 00:36:59,070
process of understanding how
interviews are being done.

612
00:36:59,070 --> 00:37:04,780
How we judge people just based on these
questions or based on the portfolio.

613
00:37:06,760 --> 00:37:12,660
So yeah, focus your time on preparing for
your algorithmic questions.

614
00:37:14,540 --> 00:37:16,781
Does that answer it or was that?

615
00:37:20,443 --> 00:37:21,680
We lost Brian?

616
00:37:24,130 --> 00:37:26,369
So maybe I'll take some more questions.

617
00:37:30,405 --> 00:37:33,410
Is there any programming
equivalent to burpees?

618
00:37:33,410 --> 00:37:37,740
I think dynamic programming
questions are burpees, right?

619
00:37:37,740 --> 00:37:40,190
Like either you like them or
you hate them.

620
00:37:44,603 --> 00:37:48,770
Okay, so
some places require a portfolio to apply.

621
00:37:48,770 --> 00:37:51,270
So what do you recommend in
a portfolio to land the interview?

622
00:37:52,680 --> 00:37:58,734
I would say in a portfolio,
having a strong LinkedIn

623
00:37:58,734 --> 00:38:04,247
presence is your portfolio
as a technologist.

624
00:38:06,672 --> 00:38:12,190
Yeah, so I would say just focus
on your LinkedIn profile.

625
00:38:12,190 --> 00:38:15,710
And from there,
just add recruiters on LinkedIn.

626
00:38:17,040 --> 00:38:19,630
And you don't need a personal website.

627
00:38:19,630 --> 00:38:22,080
I'll say that's good enough.

628
00:38:22,080 --> 00:38:25,958
And there's a lot of literature out
there on how to optimize your LinkedIn,

629
00:38:25,958 --> 00:38:29,473
some people might even say change
some settings go from searching for

630
00:38:29,473 --> 00:38:31,720
a job to not searching for a job.

631
00:38:31,720 --> 00:38:34,231
Why?
Because the LinkedIn feed will optimize

632
00:38:34,231 --> 00:38:36,880
people who've done changes.

633
00:38:36,880 --> 00:38:38,771
In the last couple of days,

634
00:38:38,771 --> 00:38:43,310
like basically you're gaming
the feed by having more activity.

635
00:38:44,470 --> 00:38:48,207
So that is one advise that I've
heard that has helped people.

636
00:38:50,744 --> 00:38:53,930
How many algo questions do
you recommend doing each day?

637
00:38:53,930 --> 00:38:56,237
I think it depends.

638
00:38:56,237 --> 00:38:59,137
Instead of focusing on
number of questions,

639
00:38:59,137 --> 00:39:01,600
focus on number of hours, right?

640
00:39:01,600 --> 00:39:06,157
If you only have two hours to prepare
because you're working full time,

641
00:39:06,157 --> 00:39:11,710
then set up a schedule to do as many
questions as you can for those two hours.

642
00:39:11,710 --> 00:39:17,086
If you're not working full time,
and you have the time,

643
00:39:17,086 --> 00:39:23,135
I will say even spend eight hours
focusing on your preparation.

644
00:39:23,135 --> 00:39:26,831
At the end of the day, this will be
worth it because you'll be working

645
00:39:26,831 --> 00:39:29,532
in a company that you're interested in,
right?

646
00:39:29,532 --> 00:39:36,737
That you'll be able to basically help
your future self out in that way.

647
00:39:39,131 --> 00:39:40,970
This says, so in interviews,

648
00:39:40,970 --> 00:39:45,658
do you only accept the candidates who
answer the questions 100% correct?

649
00:39:45,658 --> 00:39:46,832
No.

650
00:39:46,832 --> 00:39:52,075
I'll say a lot of times the feedback that
we're trying to get is is this a person

651
00:39:52,075 --> 00:39:57,001
that I wanna work with, is it a person
that I can have a conversation with in

652
00:39:57,001 --> 00:40:02,380
an elevator if I get stuck with them for
like, In an elevated rate.

653
00:40:02,380 --> 00:40:07,600
If the answer is no, then I'll say
that that's not a person I wanna hire.

654
00:40:07,600 --> 00:40:09,140
Although that's not
a person I wanna work with.

655
00:40:10,250 --> 00:40:12,000
>> Hello.
I'm back.

656
00:40:12,000 --> 00:40:15,550
>> Hey Ryan, answering the Q and A.

657
00:40:15,550 --> 00:40:16,580
>> I appreciate that.

658
00:40:16,580 --> 00:40:17,230
I could hear you.

659
00:40:17,230 --> 00:40:19,460
And just my whole machine locked.

660
00:40:19,460 --> 00:40:21,000
So anyway I'm back.

661
00:40:21,000 --> 00:40:22,580
So apologies about that.

662
00:40:23,620 --> 00:40:24,700
So thanks for answering questions.

663
00:40:24,700 --> 00:40:26,580
Why don't you just keep going?

664
00:40:26,580 --> 00:40:27,700
>> Yeah, for sure.

665
00:40:27,700 --> 00:40:32,089
So Carlos Silva asks how has the pandemic
affected programming interviews?

666
00:40:32,089 --> 00:40:37,630
What are the tips that you share with us,
still apply in virtual interviews?

667
00:40:37,630 --> 00:40:40,265
What are the most common
approaches that are being used

668
00:40:40,265 --> 00:40:41,876
during virtual interviews now?

669
00:40:41,876 --> 00:40:48,010
Carlos, I think that interviews actually
got harder as a result of the pandemic.

670
00:40:48,010 --> 00:40:50,670
And the reason why is because
the trust factor is very low.

671
00:40:51,720 --> 00:40:56,047
At least when you're
doing interviews online.

672
00:40:56,047 --> 00:41:00,257
When you come into the office and you get
to see the person, and whenever they solve

673
00:41:00,257 --> 00:41:04,426
the question on the whiteboard interview
and like basically in the whiteboard.

674
00:41:04,426 --> 00:41:09,192
For the fact that they have no cheat
sheets that they're solving a code, but

675
00:41:09,192 --> 00:41:13,900
when they're doing it virtually
that's not quite true anymore, right?

676
00:41:13,900 --> 00:41:19,208
So now I've noticed that the questions
have gotten progressively harder.

677
00:41:19,208 --> 00:41:25,399
The tips still remain the same where you
need to have a full set of questions,

678
00:41:25,399 --> 00:41:31,109
your repertoire, like at least,
I'll say 100 questions down and

679
00:41:31,109 --> 00:41:35,760
continue to progress
through the questions.

680
00:41:35,760 --> 00:41:39,602
And so once we go back to like on site
interviews, I think nothing will change,

681
00:41:39,602 --> 00:41:41,190
everything will stay the same.

682
00:41:43,320 --> 00:41:47,437
So Augustine said,
as a legal practitioner should we also

683
00:41:47,437 --> 00:41:51,058
visit the language
fundamentals at the same time?

684
00:41:51,058 --> 00:41:56,566
You should definitely revisit
the language fundamentals especially,

685
00:41:56,566 --> 00:42:01,080
because all these algorithmic
questions require you to use

686
00:42:01,080 --> 00:42:04,780
the right language with
the right libraries, or

687
00:42:04,780 --> 00:42:10,480
being fluent in your core language
is what you've been tested on.

688
00:42:10,480 --> 00:42:13,460
So if you don't know how to do tests.

689
00:42:13,460 --> 00:42:18,998
Or if you don't know how to throw arrows,
then that signal, right?

690
00:42:18,998 --> 00:42:23,269
Then how long would it take you to Google
like how you throw an arrow JavaScript,

691
00:42:23,269 --> 00:42:25,060
five minutes.

692
00:42:25,060 --> 00:42:27,050
But a lot of people
don't come in prepared.

693
00:42:27,050 --> 00:42:29,477
So I would say to prepare
on those fundamentals.

694
00:42:29,477 --> 00:42:29,982
>> Prepare.

695
00:42:29,982 --> 00:42:31,390
All right.

696
00:42:31,390 --> 00:42:33,878
I'll grab a couple of questions
that happened earlier.

697
00:42:33,878 --> 00:42:39,353
So from Rose, when you first
get the interview, for example,

698
00:42:39,353 --> 00:42:44,120
Amazon, how can you schedule
out in order to prepare?

699
00:42:44,120 --> 00:42:46,480
How long do you usually
get to schedule out?

700
00:42:46,480 --> 00:42:49,650
How much time for a specific company?

701
00:42:49,650 --> 00:42:54,726
>> Yeah, so take as much time as you
need the company or the recruiter.

702
00:42:54,726 --> 00:42:57,482
If you need one month or
if you need two months,

703
00:42:57,482 --> 00:43:01,790
they understand that this process
require some preparation.

704
00:43:01,790 --> 00:43:05,877
They understand that some people already
prepared when they're on the phone call

705
00:43:05,877 --> 00:43:09,200
with the recruiter, but
some people are not prepared.

706
00:43:09,200 --> 00:43:14,320
And so if you need a month, use a month,
if you need two months, use two months.

707
00:43:14,320 --> 00:43:17,990
And I guess the follow up question
is like, how much time would I need?

708
00:43:17,990 --> 00:43:19,247
It depends on where you started, right?

709
00:43:19,247 --> 00:43:21,970
And how many hours are you
willing to put in each day.

710
00:43:21,970 --> 00:43:24,325
And that's why I say one to three months,

711
00:43:24,325 --> 00:43:29,580
the person who's doing eight hours a day
can probably finish it in one month.

712
00:43:29,580 --> 00:43:33,590
The person who's doing one hour a day is
probably gonna take a year, I don't know.

713
00:43:33,590 --> 00:43:35,859
You start forgetting for a while, right?

714
00:43:35,859 --> 00:43:36,430
Like
>> Yeah.

715
00:43:36,430 --> 00:43:40,858
>> Like if you're doing a set of 100
questions, and you're trying to prepare

716
00:43:40,858 --> 00:43:45,420
well for a set of 100 questions, if
you're not pacing yourself correctly and

717
00:43:45,420 --> 00:43:50,130
doing spaced repetition and going back,
it might take you forever, right?

718
00:43:50,130 --> 00:43:51,880
>> Right
>> The way things are.

719
00:43:51,880 --> 00:43:54,710
>> So I forgot which person asked this but

720
00:43:54,710 --> 00:43:59,470
they said how do you know
when you're ready to do that?

721
00:43:59,470 --> 00:44:03,150
Mino said this, how do you know when
you're ready for your first interview?

722
00:44:03,150 --> 00:44:08,610
>> I'd say schedule a prep interview or
interview that I interview or

723
00:44:08,610 --> 00:44:13,388
some other mock interview with
somebody that will give you

724
00:44:13,388 --> 00:44:17,460
honest feedback,
after you get like a few wins.

725
00:44:17,460 --> 00:44:20,258
In other words, like if you're able
to successfully complete two or

726
00:44:20,258 --> 00:44:23,350
three mock interviews with pass,
I think that's good enough.

727
00:44:23,350 --> 00:44:24,670
>> Cool, smart.

728
00:44:24,670 --> 00:44:25,440
Okay.

729
00:44:25,440 --> 00:44:29,997
And what you're saying about what how
long to prep for that prep interview

730
00:44:29,997 --> 00:44:34,714
that's gonna depend on how much time
you're putting in at the gym, right?

731
00:44:34,714 --> 00:44:37,930
If it's an hour a day, it's a lot
longer than if it's eight hours a day.

732
00:44:37,930 --> 00:44:40,470
So it will depend on your prep time.

733
00:44:40,470 --> 00:44:43,959
>> Yeah, and with interviews that
there's variance or what we call,

734
00:44:43,959 --> 00:44:47,383
you might get unlucky one day,
you might get a very hard question or

735
00:44:47,383 --> 00:44:49,970
question you haven't prepared for.

736
00:44:49,970 --> 00:44:52,210
And that's fine, it happens.

737
00:44:53,230 --> 00:44:56,821
Don't be afraid to take the shots
if you think you're prepared,

738
00:44:56,821 --> 00:45:00,819
you think you're ready,
don't wait till you're 100% prepared.

739
00:45:00,819 --> 00:45:01,792
>> Yeah.

740
00:45:01,792 --> 00:45:04,568
>> Take the interviews
when you're 60% prepared,

741
00:45:04,568 --> 00:45:08,164
because not only are they looking for
your algorithmic abilities,

742
00:45:08,164 --> 00:45:11,490
they're also looking for
your abilities as a person.

743
00:45:11,490 --> 00:45:11,990
>> Right,
>> Right?

744
00:45:11,990 --> 00:45:16,619
How much can you really change
as a person in three months or

745
00:45:16,619 --> 00:45:19,210
two months, not a lot, right?

746
00:45:19,210 --> 00:45:22,210
That will take you,
you are who you are, right?

747
00:45:22,210 --> 00:45:26,706
So that is why I say 60% ready.

748
00:45:26,706 --> 00:45:28,272
>> Go, got it.

749
00:45:28,272 --> 00:45:29,488
So Stephanie said,

750
00:45:29,488 --> 00:45:33,405
how do companies determine which
coding questions to give you?

751
00:45:33,405 --> 00:45:38,196
Is it possible that a bootcamp graduate
would receive the same level questions as

752
00:45:38,196 --> 00:45:39,891
an experienced developer?

753
00:45:39,891 --> 00:45:43,795
>> Yeah, so
most people get the same set of questions.

754
00:45:43,795 --> 00:45:47,844
And how is it determined?

755
00:45:47,844 --> 00:45:52,015
So I'll talk about my experience at
Microsoft, so a recruiter will ask me,

756
00:45:52,015 --> 00:45:55,780
hey, look, you have a phone screen for
this candidate.

757
00:45:55,780 --> 00:45:58,185
It's going to be two weeks from now.

758
00:45:58,185 --> 00:46:00,590
This is the dowry, are you available?

759
00:46:00,590 --> 00:46:01,780
And I say yes.

760
00:46:01,780 --> 00:46:06,652
And then from there, I'll make
a decision on what question to ask and

761
00:46:06,652 --> 00:46:09,424
many times it will be based on what other

762
00:46:09,424 --> 00:46:14,840
colleagues have been asking
during the last couple of months.

763
00:46:14,840 --> 00:46:19,960
And these questions are pretty
much from Liko to be honest.

764
00:46:19,960 --> 00:46:23,957
If you go to liko.com, and you search for
the company tag, it could be Microsoft,

765
00:46:23,957 --> 00:46:26,210
could be Google, could be Facebook.

766
00:46:26,210 --> 00:46:30,340
Those are the typical questions
that get asked, even if you were to

767
00:46:30,340 --> 00:46:35,082
know the questions, the problem is that
you need to prepare for it, right?

768
00:46:35,082 --> 00:46:39,607
To deliver the answer, to know
the complexities and that in itself,

769
00:46:39,607 --> 00:46:41,570
it can be very difficult.

770
00:46:41,570 --> 00:46:44,139
It can take time.

771
00:46:44,139 --> 00:46:45,636
>> Got it.

772
00:46:45,636 --> 00:46:48,474
Okay, can I grab a couple
more questions and

773
00:46:48,474 --> 00:46:51,290
we're gonna run out of time pretty fast.

774
00:46:51,290 --> 00:46:58,158
All right, Michelle said can you expand
on not doing the take home assignments or

775
00:46:58,158 --> 00:47:03,010
expand on why you chose not
to complete the assignments?

776
00:47:03,010 --> 00:47:06,320
You mentioned that happened at 1.2.

777
00:47:06,320 --> 00:47:08,160
A lot of company ask
candidates to do them.

778
00:47:09,370 --> 00:47:14,311
>> Yeah.
So it goes back to you.

779
00:47:14,311 --> 00:47:17,832
So I guess it's more of a personal choice,
right?

780
00:47:17,832 --> 00:47:19,710
You're asking me as an individual.

781
00:47:19,710 --> 00:47:23,934
And if I were to give you
this answer eight years ago,

782
00:47:23,934 --> 00:47:28,446
I'll say just take any opportunity,
have a take home,

783
00:47:28,446 --> 00:47:34,117
have a phone screen, but unfortunately
if you really think about it.

784
00:47:34,117 --> 00:47:36,815
Those six hours that you
spend on your take home

785
00:47:36,815 --> 00:47:42,430
those first six hours you could have spent
preparing for algorithmic questions.

786
00:47:42,430 --> 00:47:45,950
And for every hour you spend for another
the question it could help you out for

787
00:47:45,950 --> 00:47:48,377
other companies that I
suppose the same questions.

788
00:47:48,377 --> 00:47:52,057
And so if you spend six hours
on this take home challenge,

789
00:47:52,057 --> 00:47:57,550
is it going to make you significantly
better on your next take home challenge?

790
00:47:57,550 --> 00:47:59,570
Usually not.

791
00:47:59,570 --> 00:48:03,950
And so that's why it's more
of a strategy and then also,

792
00:48:03,950 --> 00:48:09,640
think about it like companies
that are giving you take homes.

793
00:48:09,640 --> 00:48:12,230
How much effort does it take
them to give you a take home?

794
00:48:12,230 --> 00:48:12,975
It depends, right?

795
00:48:12,975 --> 00:48:16,140
Are they actually looking at every
single line of code with you, or

796
00:48:16,140 --> 00:48:19,490
are they gonna send you a rejection
without providing like feedback?

797
00:48:20,660 --> 00:48:23,940
Most of the time what I've heard or
seen is they don't write feedback.

798
00:48:23,940 --> 00:48:25,790
They just give you a rejection.

799
00:48:25,790 --> 00:48:30,262
But for companies that actually set up
time with you would actually put up one or

800
00:48:30,262 --> 00:48:32,242
two developers to interview you.

801
00:48:32,242 --> 00:48:36,360
They're actually committing to you as
a developer and they appreciate your time.

802
00:48:36,360 --> 00:48:39,819
And you should know how to have
other people respect your time,

803
00:48:39,819 --> 00:48:42,200
you should respect your own time.

804
00:48:42,200 --> 00:48:44,510
So like you are a valuable candidate.

805
00:48:44,510 --> 00:48:48,675
And that's the attitude that
you need to come in with, and

806
00:48:48,675 --> 00:48:52,840
if somebody says hey look,
this is a take home machine.

807
00:48:52,840 --> 00:48:55,562
It should not normally take you for
six hours.

808
00:48:55,562 --> 00:48:56,406
I'll be okay.

809
00:48:56,406 --> 00:48:59,233
Thank you.
I'm gonna go find another company that can

810
00:48:59,233 --> 00:49:02,540
actually spend an hour with me so
I can evaluate you too.

811
00:49:04,030 --> 00:49:08,983
>> You're saying really you want
them to do the first interview

812
00:49:08,983 --> 00:49:12,186
before they asked you to do a take home,

813
00:49:12,186 --> 00:49:17,060
if it's just do a take home
right away then it's a red flag.

814
00:49:17,060 --> 00:49:22,071
>> Yeah exactly I would say
not only it's a red flag,

815
00:49:22,071 --> 00:49:28,440
let's say like out of the four
take homes that you take.

816
00:49:28,440 --> 00:49:30,930
One of them gives you like
really good feedback.

817
00:49:33,190 --> 00:49:39,420
Like the other three take homes, that's
opportunities he could have used to study.

818
00:49:39,420 --> 00:49:40,397
>> Right.
>> Yeah.

819
00:49:40,397 --> 00:49:42,973
>> Absolutely makes sense.

820
00:49:42,973 --> 00:49:48,822
I think the consistent thing I'm hearing
you say in it and I'm repeating this is

821
00:49:48,822 --> 00:49:55,150
that you have to do a certain amount of
systematic preparation and hard work.

822
00:49:55,150 --> 00:49:59,863
To get ready for the interview, and
if you're just doing a bunch of take homes

823
00:49:59,863 --> 00:50:04,160
and not getting any feedback,
you're literally wasting your time.

824
00:50:05,460 --> 00:50:08,030
So.
>> Yeah, that's absolutely right.

825
00:50:08,030 --> 00:50:09,660
And I've been there, I understand.

826
00:50:09,660 --> 00:50:13,040
I mean, like a company comes up to you and
they show some interest.

827
00:50:13,040 --> 00:50:13,810
You get excited.

828
00:50:15,040 --> 00:50:18,364
Hey, look, I'm the best candidate ever and

829
00:50:18,364 --> 00:50:23,886
you spend 20 hours on this take home,
and then they give you a rejection.

830
00:50:23,886 --> 00:50:28,558
That's not a good feeling and
not only does it mess with your

831
00:50:28,558 --> 00:50:34,640
schedule which is your routine,
it messes with your confidence.

832
00:50:34,640 --> 00:50:38,948
And so you need to have
consistency in order to be

833
00:50:38,948 --> 00:50:44,000
able to perform under
the interview setting.

834
00:50:44,000 --> 00:50:47,398
And so how do you create consistencies?

835
00:50:47,398 --> 00:50:51,938
By only taking interviews that you can
take that are consistently asking the same

836
00:50:51,938 --> 00:50:53,820
type of questions.

837
00:50:53,820 --> 00:50:55,269
>> Got it.

838
00:50:55,269 --> 00:50:57,692
So Patricia asked, does applying for

839
00:50:57,692 --> 00:51:01,712
an internship require me to go
through a technical interview?

840
00:51:01,712 --> 00:51:07,336
>> Yes, so most internships
of west ask you a technical,

841
00:51:07,336 --> 00:51:13,095
you'll go to the phone screen or
an online assessment.

842
00:51:13,095 --> 00:51:15,488
Through an online assessment
portal where they ask you three or

843
00:51:15,488 --> 00:51:17,340
four algorithmic questions.

844
00:51:17,340 --> 00:51:21,646
And then you'll have a virtual on site
where you have the behavioral and

845
00:51:21,646 --> 00:51:23,747
then the algorithmic questions.

846
00:51:23,747 --> 00:51:27,630
And they might even give you one system
design questions depending on the company.

847
00:51:27,630 --> 00:51:30,801
>> Okay, got it.

848
00:51:30,801 --> 00:51:36,898
All right, Harmon asks, any specific area
do you recommend people to study and

849
00:51:36,898 --> 00:51:39,265
would be a trend in the future?

850
00:51:39,265 --> 00:51:43,854
For instance, web development,
software development, mobile development,

851
00:51:43,854 --> 00:51:45,725
where are you seeing the jobs go?

852
00:51:47,530 --> 00:51:54,420
Yeah, I think the trend is like, it's
still in with computers, with software.

853
00:51:54,420 --> 00:51:59,480
I'll say anywhere that you find
that you can spend some time.

854
00:52:01,010 --> 00:52:05,768
Just like geeking out is good enough,
because this is something that you'll be

855
00:52:05,768 --> 00:52:09,450
working on for
the next ten years, 20 years.

856
00:52:09,450 --> 00:52:13,618
And that you need to kind of
have some sort of enjoyment or

857
00:52:13,618 --> 00:52:16,994
some sort of balance of
you kind of liking it.

858
00:52:16,994 --> 00:52:20,873
So if it's crypto, it's crypto,
if it's front end, it's front end.

859
00:52:20,873 --> 00:52:25,007
Or if it's like healthcare,
like where I'm working in, its healthcare.

860
00:52:25,007 --> 00:52:30,056
If it's space, like the world has
been overtaken by technology,

861
00:52:30,056 --> 00:52:33,220
and I don't see a stopping anytime soon.

862
00:52:34,370 --> 00:52:39,155
And there's a lot of roles in every
single field that they need developers,

863
00:52:39,155 --> 00:52:42,470
from self-driving cars,
self-driving trucks.

864
00:52:42,470 --> 00:52:46,517
I know that I have friends who,
like any space that you can think of,

865
00:52:46,517 --> 00:52:50,650
that you're gonna need somebody
to work on a specific piece.

866
00:52:50,650 --> 00:52:51,330
>> Got it.

867
00:52:51,330 --> 00:52:56,290
>> So don't feel formal,
don't feel the fear of missing out.

868
00:52:56,290 --> 00:53:01,059
Because there's a lot of
opportunities out there, and

869
00:53:01,059 --> 00:53:05,940
it goes back to you bringing
your authentic self to work.

870
00:53:07,690 --> 00:53:12,110
Is that you can choose what company or
what area to work in.

871
00:53:12,110 --> 00:53:13,962
>> Cool, thank you.

872
00:53:13,962 --> 00:53:16,450
From Latoya, they asked, in your opinion,

873
00:53:16,450 --> 00:53:19,134
is it worth it to apply
to companies like Google,

874
00:53:19,134 --> 00:53:24,120
Facebook, Amazon, LinkedIn, it's a ton of
specific prep for those type of companies.

875
00:53:24,120 --> 00:53:27,403
For instance, Google has a recommended
book lists YouTube videos and

876
00:53:27,403 --> 00:53:29,360
an eight-hour final interview on site.

877
00:53:31,170 --> 00:53:35,009
>> I would say yes, I think it's worth
it because if you think about it,

878
00:53:35,009 --> 00:53:39,450
that the same resources that they're
giving you is the same resources that have

879
00:53:39,450 --> 00:53:41,920
been given to people for
the last ten years.

880
00:53:43,365 --> 00:53:44,117
And so, and

881
00:53:44,117 --> 00:53:49,195
I think it'll be the same resources that
will be given in the next ten years.

882
00:53:49,195 --> 00:53:51,127
>> Right.
>> And many companies model their

883
00:53:51,127 --> 00:53:54,705
interview processes based
on these larger companies.

884
00:53:54,705 --> 00:53:56,315
So what does that mean to you?

885
00:53:56,315 --> 00:54:00,964
That means that whenever you prepare for
this interview, not only are you preparing

886
00:54:00,964 --> 00:54:04,645
for this next job, you prepare for
two or three jobs down the line.

887
00:54:06,560 --> 00:54:08,642
>> Got it, makes total sense.

888
00:54:08,642 --> 00:54:12,422
And you could also know why I
apply at these companies and

889
00:54:12,422 --> 00:54:18,150
I've now I've experienced that, that
experience and it would make you stronger.

890
00:54:18,150 --> 00:54:21,830
So, we're just about out of time.

891
00:54:21,830 --> 00:54:26,220
And I wanna explain to folks
how they can do networking.

892
00:54:26,220 --> 00:54:27,617
So before I do that,

893
00:54:27,617 --> 00:54:32,890
any final bits of advice that you just
really love to get across before we go?

894
00:54:34,400 --> 00:54:41,168
>> Yeah, I would say just, the interview
process kind of sucks a little bit,

895
00:54:41,168 --> 00:54:45,366
or it sucks a lot, but
don't lose your focus.

896
00:54:45,366 --> 00:54:49,275
You will be in tech working on some
interesting things that people will be

897
00:54:49,275 --> 00:54:50,950
using in their everyday life.

898
00:54:50,950 --> 00:54:54,620
You'll be helping out society and
just think about it that way.

899
00:54:55,800 --> 00:54:56,860
Follow your dream, right?

900
00:54:56,860 --> 00:54:58,790
If Google or Facebook, or

901
00:54:58,790 --> 00:55:04,865
these other companies is not what you're
interested in, don't worry about it.

902
00:55:04,865 --> 00:55:07,451
I remember advocating is like,

903
00:55:07,451 --> 00:55:11,857
if the interview process
is what's holding you back,

904
00:55:11,857 --> 00:55:16,764
there is a way to overcome that,
with consistent practice.

905
00:55:16,764 --> 00:55:20,650
And hundreds of people, thousands,
or millions of people have done it.

906
00:55:20,650 --> 00:55:22,770
The process hasn't changed
in the last ten years.

907
00:55:22,770 --> 00:55:25,010
I don't see a change
in the next ten years.

908
00:55:25,010 --> 00:55:27,220
And you don't have to like it.

909
00:55:27,220 --> 00:55:32,400
You can just play the game for
one to three months and then move on.

910
00:55:33,450 --> 00:55:34,200
>> Thank you, Abraham.

911
00:55:34,200 --> 00:55:36,058
I appreciate it.

912
00:55:36,058 --> 00:55:40,257
Thank you so much for
sharing your knowledge and experience, and

913
00:55:40,257 --> 00:55:44,180
really kind of demystifying
a lot of the scary parts of it.

914
00:55:44,180 --> 00:55:45,401
Thank you for that.

915
00:55:45,401 --> 00:55:49,781
I'm kind of sad that we didn't actually
have you do a whiteboard interview

916
00:55:49,781 --> 00:55:53,620
since you have a whiteboard behind you but
[LAUGH] maybe next time.

917
00:55:53,620 --> 00:55:58,585
Everyone, please make sure to follow and
check out what Abraham's doing.

918
00:55:58,585 --> 00:56:02,034
What's the best place for
people to connect with you?

919
00:56:02,034 --> 00:56:04,060
>> Best place is to be on LinkedIn.

920
00:56:04,060 --> 00:56:08,394
I'll go ahead and put my LinkedIn in there
or if it's in my profile, [INAUDIBLE].

921
00:56:08,394 --> 00:56:10,040
>> Thank you very much.

922
00:56:10,040 --> 00:56:12,929
>> So y'all, we've run out of time.

923
00:56:12,929 --> 00:56:15,800
Thank you so much for
asking a ton of good questions.

924
00:56:17,490 --> 00:56:19,950
Please take time to do
the networking session.

925
00:56:19,950 --> 00:56:24,500
So, one of the best things you can
do in the job search is meet people

926
00:56:24,500 --> 00:56:29,151
because they can connect you to
people at companies who are hiring.

927
00:56:29,151 --> 00:56:31,050
So here's how networking works.

928
00:56:31,050 --> 00:56:33,850
It's actually easy and fun.

929
00:56:33,850 --> 00:56:35,602
What you do is you click on networking,

930
00:56:35,602 --> 00:56:38,310
which is the button on
the left side of the screen.

931
00:56:38,310 --> 00:56:41,983
And then what happens is you get
randomly paired with another person.

932
00:56:41,983 --> 00:56:45,774
And you have a three-minute video chat.

933
00:56:45,774 --> 00:56:46,870
You can leave at any time.

934
00:56:46,870 --> 00:56:49,023
There's no obligation.

935
00:56:49,023 --> 00:56:50,750
And it's just a great place to meet folks.

936
00:56:50,750 --> 00:56:53,837
And I just encourage you to
open with something like, hey,

937
00:56:53,837 --> 00:56:56,948
tell me about something you're
really passionate about.

938
00:56:56,948 --> 00:57:00,210
And get to know some folks, and
you never know who they know.

939
00:57:01,220 --> 00:57:05,490
So they may be family friends
with Jeff Bezos, right?

940
00:57:05,490 --> 00:57:08,660
So, get to know some folks and
see what happens.

941
00:57:10,350 --> 00:57:13,490
With that again, I just wanna thank
Abraham again for spending time with us.

942
00:57:13,490 --> 00:57:16,140
We really appreciate it.

943
00:57:16,140 --> 00:57:18,560
And just please take
what he said to heart.

944
00:57:18,560 --> 00:57:22,060
Just put in the practice, put in the work,

945
00:57:22,060 --> 00:57:25,668
and do your interview prep and
you can do it.

946
00:57:25,668 --> 00:57:26,310
You can get in.

947
00:57:27,660 --> 00:57:31,190
So with that, I'm gonna head out.

948
00:57:31,190 --> 00:57:32,220
Thank you so much, everybody.

949
00:57:32,220 --> 00:57:33,490
Thank you, Abraham.

950
00:57:33,490 --> 00:57:34,421
Take care y'all.

951
00:57:34,421 --> 00:57:35,492
[SOUND]