Based on 2,000+ applications and 60+ resume versions — the resume structure that helped me start getting interviews at Meta, Google, OpenAI, TikTok, Instacart, Apple, Anthropic, and more.

 A real one-page resume example plus a 10-page guide that shows career-changers how to translate academic, research, and non-CS experience into tech resume language.

Includes:

  • 1 real ATS-friendly resume example

  • 10-page explanation guide

  • Work experience translation framework

  • AI project bullet structure

  • Title translation examples for MLE / SWE / Applied Scientist roles

  • DOCX + Google Docs access

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Get the Resume Kit

If this sounds familiar...

You can code. You’ve studied the interview process. You’ve built real things — in your research, in your last role, or in your own time.

But for many career-changers, the problem may not be the work itself.

It may be that your resume is not closing the two gaps recruiters need it to close.

First, there is the translation gap.

The way you describe your experience can be accurate, detailed, and completely valid in your original field — and still not match the language a tech recruiter scans for in the first few seconds.

Second, there is the project credibility gap.

You may have built real projects, but if they read like tool lists or tutorial projects, they may not show the engineering judgment, system design, and industry readiness you actually want them to prove.

That is what this resume framework is built to help with.

Not by making your background sound like something it isn’t.

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I was doing what everyone tells career-changers to do.

I’m not a former recruiter, and I’m not a career coach.

I built this from the inside — as someone who had to figure out how to move from a non-CS background into tech.

At first, I thought the hard part was simply becoming more prepared.

But after testing resume version after resume version, I realized the resume had to solve two deeper problems.

First: translation.
My past experience had to be written in language a tech recruiter could recognize quickly. Real technical work can get missed when it is described only in academic, research, or domain-specific language.

Second: project credibility.
My side projects had to prove more than tool usage. They had to show real problems, system design decisions, technical tradeoffs, metrics, deployment, and engineering judgment — the kind of signals that make a project feel credible for software, ML, and applied AI roles.

Once I understood those two gaps, I changed how I wrote everything: my work experience, my project bullets, my technical skills, and the order of the resume.

That shift helped me get interviews, online assessments, and recruiter conversations with companies including Meta, Google, OpenAI, TikTok, Instacart, Apple, Anthropic, Pinterest, Amazon, Lyft, Snowflake, Roblox, Uber, Capital One, and more.

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This resume example and guide came out of that process.

The interview emails are real. The companies are real. The framework in the guide is what I actually used.

I’m sharing it because it took me way too long to figure out — and I don’t think it should take you that long.

What You’ll Get Inside Non-CS to Tech Resume Kit

This product includes two core files: a real one-page resume example and a 10-page guide that explains why it works.

1. The One-Page Tech Resume Example
A real ATS-friendly resume example based on the structure I used and refined during my own tech career transition.

You’ll see how the full page comes together:

  • Section order

  • Job title framing

  • Work experience bullets

  • AI project bullets

  • Technical skills

  • Education placement

This is not meant to be copied word-for-word. It is meant to show what a tech-ready resume can look like when your path into tech does not follow the traditional CS route.

2. The Why-This-Way Guide
A 10-page guide that explains the reasoning behind the resume — not just what goes where, but why.

Inside the guide, you’ll learn:

  • Why Work Experience comes first, and what that signals to a recruiter

  • How to choose a tech-recognizable title for MLE, SWE, or Applied AI roles

  • How to translate research, engineering, analytics, or non-CS experience into language the tech industry recognizes

  • How to decide which side projects are worth showing

  • How to write project bullets that show engineering judgment instead of tool usage

  • How to make your skills section support the story instead of becoming a keyword list

ne-time price: $49.99

Get the Resume Kit

How It Works？

You do not need to start from a blank page.

Step 1 — Read the resume example first

Start by reading the full one-page resume example from top to bottom. Do not edit yet. Just notice the structure, section order, bullet style, and level of technical detail.

Step 2 — Open the guide alongside it

The guide is meant to be read with the resume example, not separately. Each section explains why the resume is written that way — what it is trying to signal, and how you can apply the same thinking to your own background.

Step 3 — Translate your own experience

Use the guide to rewrite your work experience in tech-recognizable language. The goal is not to exaggerate your background. The goal is to make the technical value easier to see.

Step 4 — Choose the right projects

Look at your side projects, school projects, research projects, or self-built apps, and decide which ones actually support the role you want. Then use the project bullet structure to show the problem, system design, technical depth, metrics, and deployment.

Step 5 — Build your one-page version

Replace the example content with your own. Keep the structure, adapt the logic, and trim until the resume tells one clear story.

Who This Is For？

This is for people who have real technical ability, but whose resume does not yet make that ability easy to see.

It may be a good fit if:

  • You are moving into tech from a research, engineering, science, analytics, or non-CS background

  • You are applying for Software Engineer, ML Engineer, Applied AI, or AI-related roles

  • You have work experience, but you are not sure how to describe it in tech-recognizable language

  • You have built projects, but you are not sure which ones are strong enough to put on your resume

  • You want to understand what kind of personal projects can look credible to industry readers

  • You want an example of how to turn self-built projects into resume bullets that show real engineering thinking

  • Your resume still feels too academic, too vague, or too focused on tools instead of systems

  • You are not starting from zero, but you need a clearer way to present what you have already done

This is not mainly for someone who already has a traditional CS background, strong internships, and a resume that is already getting consistent interviews.

If your resume problem is mostly formatting, a free or prettier template may be enough.

If your resume problem is figuring out what your background and projects prove — and how to explain them clearly — this product was built for that.

Ready to Make Your Tech Resume Easier to Understand?

Get instant access to the resume example + 10-page guide for $49.99.

Your background may already have more technical value than your resume shows.
Your projects may already be stronger than they look on the page.
Let’s make both easier for tech recruiters to recognize.

Yes- I Want the Resume Kit

FAQ

Is this a resume template or a resume example?

It can be used as a resume template, but its bigger value is that it is a resume example with reasoning behind it.

If you only want a beautiful layout, you can find many resume templates online.

This product is more about the logic of what to write: what experience to include, how to frame your title, how to translate non-CS or research experience, how to present projects, and how to make the resume feel credible for tech roles.

The layout is intentionally clean and ATS-friendly. But the main value is not the design. The main value is understanding how the resume is written.

Is it ATS-friendly?

Yes.

The resume example uses a clean one-page structure without graphics, photos, columns, or visual elements that make parsing harder.

It is designed to be readable by both ATS systems and humans.

Is this only for PhDs or postdocs?

No.

My own background included engineering research and postdoc experience, so the guide naturally speaks to people with research-heavy or technical non-CS backgrounds.

But this product is mainly for people with prior experience who are trying to move into tech and need help translating that experience into resume language that recruiters and hiring managers can understand.

That can include PhDs, postdocs, researchers, engineers, analysts, scientists, self-taught developers, or other career-changers.

Is this for Software Engineer, ML Engineer, or Applied Scientist roles?

It is most useful for roles around software engineering, ML engineering, applied AI, and AI application development.

I have received interviews across these kinds of roles, but the guide is not trying to cover every possible version of SWE, MLE, or Applied Scientist.

Different companies use these titles differently. Some Applied Scientist roles are more research-heavy. Some MLE roles focus more on model training. Some software roles are closer to backend, full-stack, infra, or AI product engineering.

This guide is especially focused on helping career-changers present technical experience and AI/application projects in a way that can make sense for software, ML-adjacent, and applied AI roles.

What files do I get?

You get:

  • DOCX resume example

  • Google Docs access for the resume example

  • 10-page Why-This-Way guide

  • Instant digital download

Can I copy the resume word-for-word?

The resume is meant to be a reference, not a script to copy blindly.

You can use the structure, bullet style, section order, and project framing as a model. You can also use AI tools to help you adapt the logic to your own background.

But your final resume should reflect your real experience, real projects, real links, and real numbers.

For example, if you include demo links, GitHub links, project metrics, or deployment details, make sure they are true and that you can explain them in an interview.

Does this guarantee interviews?

No.

No resume can guarantee interviews. Timing, market conditions, role fit, referrals, experience level, and many other factors all matter.

This product is designed to help you explain your experience and projects more clearly, based on a structure tested through real applications. It is not a promise of a specific outcome.

Can I use this if I am already in tech?

Maybe.

If you are already in tech and your resume is getting consistent interviews, you may not need this.

If you are in tech but still struggling to explain a non-traditional background, research-heavy experience, AI projects, or a career transition, it may still help.

What if I have trouble accessing the files? What if something doesn’t work?

Because this is a digital download, all sales are generally final once access is delivered.

But if you have trouble downloading, opening, or accessing the files, email me and I’ll help fix it.

If something is genuinely wrong with the files or the product is not what was described, I’ll make it right.

If the guide receives meaningful future updates, I’ll send those updates to existing buyers for free.

You do not need to make your background look like someone else’s.

You need a resume that helps the right parts of your background make sense quickly.

If you have done the work — learned the skills, built the projects, and kept applying — this example and guide can help you present that work more clearly.

One-time price: $49.99

Get the Resume Kit