Phase 10: AI Engineering Career System · 60 min · GitHub · Vercel · Loom

Portfolio & Project Packaging for Hiring

Your portfolio is not a list of repos. It is a product demo that proves you can ship.

Hiring signal: Ability to communicate technical work clearly and demonstrate production thinking

The Problem

An engineer applies for an AI role with a GitHub profile containing 47 repositories. The hiring manager clicks the first three: no README, no demo, no documentation. The code looks like homework assignments. The engineer does not get an interview.

Another engineer applies with three repositories. Each has a clear README with architecture diagram, a live demo link, eval metrics, and a 2-minute Loom video showing the system in action. They get interviews at every company they apply to.

The difference is not talent. It is packaging.

The Concept

What Hiring Managers Actually Look For

A hiring manager opens your GitHub portfolio repo. Within 30 seconds, what must they be able to determine?

Managers scan repos in seconds. If they can't quickly understand what the project does, verify it works, and see evidence of engineering quality, they move on. A README with a one-sentence description, an architecture diagram, a live demo link, and a CI badge answers all three questions instantly. No README = "unfinished work" signal.

Within 30 seconds of opening your repo, they ask:

1. What does this do?              → Clear title + one-sentence description
2. Does it actually work?          → Live demo link or video
3. Is this production-quality?     → Architecture, tests, CI/CD
4. Can this person communicate?    → README quality, writing clarity
5. Is this relevant to us?         → Matches the role's tech stack

The 5-Layer Portfolio Project

Layer	Purpose	Example
README	30-second pitch + setup instructions	Title, problem, architecture, demo link, setup
Live demo	Proof it works	Deployed app or 2-min Loom video
Architecture	Shows system thinking	Excalidraw diagram with components + data flow
Eval/Metrics	Quantifies quality	"Retrieval recall: 87%, Latency p95: 340ms"
Code quality	Proves engineering maturity	Tests, CI, types, clean structure

What NOT to Put in a Portfolio

Don't	Why	Instead
Tutorial follow-alongs	Shows learning, not building	Build your own variant with a twist
50 repos with no README	Signals unfinished work	Pin 3-5 polished repos
Only notebooks	Signals prototyping only	Ship a deployed service
Kaggle scores only	Shows competition, not product	Show end-to-end system
Private repos	Can't be evaluated	Make portfolio projects public

Unlock the full lesson

You've read the first 2 sections. The rest of this lesson covers Build It, Demo, Problem, Architecture, Key Metrics, Tech Stack, Quick Start, Evaluation, Lessons Learned, Use It, Ship It, Exercises, Key Terms, Common Pitfalls, Interview Framing — plus a hands-on lab, quiz, and project artifact.

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