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These RESUMES got my mentee a $110k USD role at AMEX

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These RESUMES got my mentee a $110k USD role at AMEX

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428 segments

0:00

You still don't have a job in tech? Not

0:02

because you haven't done enough, but

0:04

because you're invisible. You've been

0:06

learning how to code, made a few

0:08

impressive projects, and maybe even

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contributed to open source projects, and

0:13

did some free work for some equity

0:15

roles. You did all the right things, and

0:17

yet you've got zero interviews in the

0:20

first 100 job applications you sent out.

0:23

So, now you're sitting there thinking, I

0:25

just need to apply more. There are

0:27

people who get their first interviews

0:29

after 200 or even 500 applications. Then

0:33

maybe you land your first interview

0:35

after a couple hundred applications, and

0:37

you think you finally figured it out.

0:39

Only for you to completely bomb it on

0:41

the first try. Now you're thinking, holy

0:44

[ __ ] I need to apply 200 more times

0:47

just to get another rep in. Think about

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how insane that sounds. At that point,

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you're just going to think this tech job

0:54

market is impossible, and there's no

0:56

point even pursuing this path. And I

0:58

don't blame you. My name is Phil, and

1:01

over the last 365 days of opening my

1:04

mentorship program, I've helped 50-plus

1:06

mentees land not just interviews, but

1:09

their goal tech career jobs as

1:11

full-stack software engineers in

1:13

companies like Amex and Zillow, as well

1:16

as multiple dozen upcoming successful

1:18

startups. And if you know my story, I

1:21

transitioned from an ESL English teacher

1:23

to a six-figure senior developer and

1:26

ex-tech lead having experiences in both

1:28

startups and big tech. And my mentees

1:31

are doing the same thing every single

1:34

month. Whether their start is as a CS

1:36

degree student or a career changer in

1:38

their 30s. And the part that I always

1:40

emphasize on is resumes. Because a

1:43

resume is like the first 6 seconds of a

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video on a reel that stops you from

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scrolling. The reason this analogy is

1:50

perfect is because when a hiring manager

1:52

opens your resume, they literally look

1:55

at it for 6 seconds, and then close it.

1:57

Done. You have exactly 6 seconds to make

2:00

an impression to see if you even qualify

2:03

for an interview. And it's not because

2:06

you can't code. I'm sure if you sent out

2:08

a resume, you've taken time to learn how

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to code, how to use AI correctly, and

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even have two or three impressive

2:15

projects built out with users on it. But

2:18

none of that matters if you cannot

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convey to recruiters you can do all that

2:23

in 6 seconds. Your 4.0 GPA, your toy

2:26

projects you made in the class, or a

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capstone project at your boot camps,

2:30

none of that is going to convince your

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recruiter that you are not a beginner.

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And you know what's a scary part? I even

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have cracked mentees who joined my

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mentorship who already have two or three

2:43

years of experience, and I meet them and

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think like, bro, how the hell are you

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not landing interviews? You're good

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enough to be a mid or even senior

2:52

developer. I have a mentee, his name is

2:55

Derek. He is one of the most talented

2:57

young developers I've met. When I first

3:00

met with him, he was telling me, I am a

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generalist. And I guess in his previous

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workplace before he got laid off, they

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never really gave him a chance to prove

3:08

his worth. But the guy already has SaaS

3:11

products under his name. He has got

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amazingly coded projects with actual

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users on it that solves actual problems.

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He has a very efficient AI workflow and

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is very knowledgeable in systems design.

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So, with all that being said, I

3:24

literally told him, you're not a

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generalist. You're just very good at

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everything. Like, I would want this guy

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on my team in a heartbeat, and even if I

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had to sign him as a remote developer

3:36

from Japan. Anyways, enough glazing. But

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the guy couldn't land interviews before

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he came to our mentorship to save his

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life. And it's clearly not because of

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his abilities. It's because he was

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underselling himself so badly on his

3:51

resume that he was not only invisible,

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but his resume was screaming, just

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another beginner developer. So, my team

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and I worked with him, and well, just

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expect big things to happen soon. So,

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that's the scariest part in all this.

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You could be good, like actually really

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damn good. Better than half the people

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even getting hired, and you could still

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get nothing. No interviews, no

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callbacks, no responses. I've seen it

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happen over and over again. Cracked

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developers, no jobs. But I've seen

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average developers landing offers. Why?

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Because this isn't just about skill.

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This is about perception. So, before I

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tell you how we have helped over 50

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people last year get hundreds of

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interviews and help them land roles

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ranging from a junior role to a senior

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level role, I want to talk about the

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reason the market feels impossible right

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now. And it's not because AI threatens

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the very existence of software

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engineers. It's because of the smell.

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This is something nobody talks about.

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Something your mentor probably won't say

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out loud, but every recruiter knows it.

5:00

Every hiring manager knows it. It's that

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moment they look at your resume and

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instantly think, another one of these.

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Because when a job listing is posted and

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thousand job applications are sent out

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for that specific job within a few

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hours, chances are 950 of them are going

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to be filtered out in a blink of an eye.

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Why? Because these 950 resumes are going

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to scream, a boot camp grad, tutorial

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projects, no real experience, and the

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same buzzwords. They don't see you as a

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candidate. They see you as a category,

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and that category, poof, ignored. And

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it's not your fault. Damn near every

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single educational path gives you the

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same cookie-cutter path. It used to work

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back then because companies were

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desperate. I remember back in the day,

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you can get close to six figures as a

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simple front-end developer. Now, it's

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the opposite. There are more candidates,

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and the roles require you to be much,

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much, much better than a simple general

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developer produced by a CS degree or

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boot camp. They require candidates who

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know exactly how to build a full-scale

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application top to bottom. Someone who

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has speed because they have a good AI

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workflow. Someone who knows how to make

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good architectural decisions to handle

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difficult edge cases. Someone who knows

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how to solve real problems real fast.

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Yes, it sounds brutal. And yes, it

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sounds unfair, but you have to also ask

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yourself, are you just so concerned with

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the barrier to entry and quit because

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the barrier to entry is higher, or do

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you actually want to become a cracked

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developer that can solve real-world

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problems, and potentially one day have

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your own products and make cool [ __ ]

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Because if you're in the first category

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of people, this path was never going to

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work out for you anyways, even in 2017.

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But if you're in the second category,

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for you guys, I'm going to not just link

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you two resumes that got insane results

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within our own mentorship, but we're

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going to code through it, analyze it, so

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that you guys can land those interviews

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this year and break into tech finally.

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And if you want to go even beyond

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resumes, if you want to join a community

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and land a tech job this year as a

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developer in this crazy job market, I

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run a mentorship where my team and I

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take you from wherever you are currently

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at in your career journey and help you

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reach your goal. Your desired salary,

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the job market that you've been working

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so hard for within this year, and we

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don't stop until we get you there.

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Anyways, back to the video. All right.

7:45

So, we're going to go over two resumes,

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my mentees, Gabe and Julian. And we're

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going to go over what made these two

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resumes extremely successful.

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So, first, let's look at Gabe. Gabe was

8:00

a student who graduated late from his CS

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degree. He was one of the first mentees

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I ever took on when the YouTube channel

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was under 5,000 subscribers. He was

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always a smart kid, already had decent

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skills, but had big goals of landing a

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job at big tech. Long story short, not

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only was he able to consistently land

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interviews at Bloomberg, Deloitte,

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Accenture, and even Apple, he was able

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to actually get job offers from them.

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But the biggest win came when he was

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able to land a six-figure job at Amex,

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which was his dream company he always

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wanted to work at. So, let's go over why

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he was able to get attention from these

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companies via his resume. Right off the

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bat, if you see his resume, within

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seconds you see that he's not a

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beginner. You can see that he has real

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experience under a company named Daffo

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AI. And it's not like he went to the

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internship, got a cup of coffee, and

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then left. He had real success in things

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he contributed to within the internship.

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He did work with 3D engines. He worked

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on performance optimizations. He clearly

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quantified impact everywhere within

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these bullet points. This line, reducing

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production time for facial animations by

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26%. That line alone tells recruiters he

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worked on a real product, he understands

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performance, and he measured impact. And

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another thing he did really well is how

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he wrote his bullet points. He followed

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something called the CAR method.

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Context, action, result, learning. Let

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me show you what I mean. Example one. He

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says he integrated Oculus lip sync into

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a Unity project and reduced production

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time by 26%.

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Now, let's break that down in plain

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English. It was a Unity project with a

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facial animation problem. What he did

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was integrate lip sync. The result was a

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26% improvement in production time. And

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what that tells us is he understands

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optimization and tooling. That's it.

10:00

Straight to the point, no fluff. Example

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two. He built an AI-driven application

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that reduced DMV form processing time by

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60% and errors by 25%. Again, simple.

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There was a slow manual DMV process. He

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built an AI system using Azure. It made

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things faster and more accurate. And

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what that shows is he knows how to use

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tech to solve real problems. That's the

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key. He's not just coding for fun. He's

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solving something that actually matters.

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Now, let's talk about why he stood out

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compared to hundreds or even thousands

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of other applications. Most people write

10:39

things like I built an app or I used

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React or I worked on a project. But Gabe

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says, "I improved performance by 25%. I

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reduced time by 60%. I achieved 95%

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accuracy." You see the difference here?

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One sounds like a student, the other

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sounds like an engineer. He positioned

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himself as someone who understands

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impact, someone who thinks about

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performance,

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someone who measures results. And that's

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exactly what big companies are looking

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for. Now, his projects. On the surface,

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they don't look that special. A soccer

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fantasy app, a full stack project with

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React and Firebase, real-time updates,

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Redux, pretty standard. But what made it

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stand out was how he described it. He

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mentioned drag-and-drop interactions and

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real-time updates. That tells me there's

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actual complexity there. State

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management, user interaction, not just

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basic CRUD. But the real standout was

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his AI project, the auto form filler.

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This is where things change because now

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it's not just I built something cool,

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it's I solved a real problem. Government

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workflow, manual inefficiency, error

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reduction, time savings. And when

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recruiters see that, they immediately

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think, "Okay, this person can build

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something useful." That's what gets

12:00

interviews. And then there are the

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smaller details that most people ignore.

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He was part of SHPE. That shows

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community and leadership. He worked in

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agile teams. That shows collaboration.

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He worked cross-functionally. That shows

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he's not just coding in a corner. All of

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that adds up. Now, Julian took a

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completely different approach. Before

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joining the mentorship, he had been

12:26

[snorts] trying to break into tech for

12:27

about 3 years. He was doing what most

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people do, sending out hundreds, even

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thousands of applications, just hoping

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something would land. But during our

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time together, we changed that approach.

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We stopped focusing on volume and

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started focusing on alignment. We

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tailored his resume to match the

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companies he was applying to. We made

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sure his projects actually made sense

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for those companies. And if there were

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gaps in the skills, we fixed them. Now,

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let's look at why his resume worked.

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First thing, he didn't apply everywhere.

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He only applied to companies that

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matched his stack. Look at what he

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knows. Java with Spring Boot, React with

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TypeScript, AWS and Docker, JWT and

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OAuth. That's not random. That's

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literally what a lot of startups are

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using right now. So when a recruiter

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looks at his resume, they're not

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thinking, "Can we train him?" They're

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thinking, "He can start contributing

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right away." That's a completely

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different mindset. Now, let's break down

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his experience. Again, same structure.

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It's simple and clear. Then, he built a

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full stack interview training app. Front

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end, back end, authentication, real-time

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behavior. That's not just a project.

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That's basically a small product. Then

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he talks about deployment. He

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containerizes back end using Docker,

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deployed it to AWS. Now, this is

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important because most people stop at it

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works on my computer. He went one step

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further. He made it real. Then there's

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OAuth. He implemented secure

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authentication across platforms. And I'm

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telling you right now, if you understand

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OAuth, you're already ahead of a lot of

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people because that's not easy stuff. So

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why did he stand out? Because he doesn't

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look like a beginner. He looks like a

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back end engineer. Spring Boot, layered

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architecture, PostgreSQL, JWT

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authentication, Docker, AWS. That's a

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real stack. That's what companies use.

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And his projects reflect that, too. The

14:34

AI interview trainer, that's basically a

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SaaS product. The playlist transfer app,

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that's real API integration, real-world

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use case. The job tracker API, that

14:44

shows he understands back end structure

14:47

properly. And then there are the extra

14:49

things. He worked with AI models,

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evaluated code outputs, improved

14:54

responses. That's super relevant right

14:57

now. He also understands cloud and

15:00

deployment, AWS, Docker, CI/CD basics,

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which means he's not just someone who

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writes code. He's someone who can

15:08

actually ship it. So at the end of the

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day, both Gabe and Julian won. But they

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won in different ways. Gabe showed, "I

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can create real impact." Julian showed,

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"I can already do the job." So if you're

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struggling right now, it's probably not

15:23

your skills. It's how you're presenting

15:25

yourself. And if you want help with

15:26

that, if you want someone to actually

15:28

look at resume, your projects, your

15:31

positioning, that's exactly what we do

15:33

in the mentorship. We don't just help

15:35

you learn coding, we help you land

15:37

actual interviews and secure jobs. We

15:40

work with you directly. And I personally

15:42

work with you one-on-one week by week.

15:45

And we don't stop until you land the

15:47

job. So let me leave you with this. The

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difference between you and someone like

15:51

Gabe or Julian is this. It's not talent.

15:54

It's not intelligence. It's not even

15:56

experience. It's clarity. They made it

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easy for someone else to believe in

16:01

them. So yes, AI is here to stay. Yes,

16:05

the market is tougher than ever before.

16:07

But that just means the people who try

16:10

harder will prevail. So why not just try

16:13

harder and get better because the

16:15

ultimate goal was never just to land

16:17

your first job. It was to become a

16:19

senior developer, a tech lead, or even a

16:21

tech CEO. And for that to happen, you

16:24

have to reach for the heavens anyways.

16:27

So aim higher in terms of the skill

16:28

level. Look past that first job. And for

16:31

those of you right now who've been

16:33

learning to code for quite some time

16:35

now,

16:36

while you might already have the skills,

16:38

while you might be good enough, if your

16:40

resume doesn't show it, if your projects

16:42

don't prove it, if your story doesn't

16:45

connect to a recruiter, you don't exist.

16:48

And that's the part that hurts because

16:51

you can be working hard every day,

16:53

grinding, building, and learning and

16:55

still get nothing back. But here's the

16:58

good news. This is fixable. You don't

17:01

need hundreds of applications to land

17:03

your first interview. You don't need

17:06

another random project. And you don't

17:08

need to get lucky. You just need to

17:11

present yourself the right way. Show

17:13

impact, show alignment, show that you're

17:16

the person they are looking for. Because

17:19

once that clicks, everything changes.

17:21

The same resume that got ignored starts

17:24

getting replies. The same skills you

17:26

already have start getting recognized.

17:29

So don't quit. Don't fall into the trap

17:32

of thinking this path isn't for you.

17:34

You're closer than you think. You just

17:37

need to make it obvious. So if you made

17:39

it this far into the video, comment

17:41

below, I'll start today, and go get your

17:44

shot. And just remember, if I can do it,

17:46

you can do it, too. Coding saves lives.

Interactive Summary

This video addresses why many skilled developers struggle to land interviews in a competitive tech job market. The creator argues that the problem isn't a lack of ability, but a failure in 'perception'—how candidates present themselves through their resumes. By analyzing two successful mentorship cases, the video emphasizes the importance of moving away from 'cookie-cutter' resumes toward those that demonstrate real-world impact, technical alignment with job requirements, and the ability to solve actual business problems.

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