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Engineering Portfolio
In the AI era, your portfolio is your most powerful career asset. It speaks when you are not in the room, works while you sleep, and can reach thousands of hiring managers simultaneously.
A polished CV gets you into the pile. A strong portfolio gets you out of it.
Why Portfolios Beat CVs
A CV tells someone what you claim to have done. A portfolio proves it.
Hiring managers in AI and software engineering spend an average of six seconds on a CV. But when they click through to a well-crafted GitHub profile or personal site, they spend minutes - sometimes longer. That extra attention is the difference between a rejection email and a first-round interview.
Think of your portfolio as a product and the hiring manager as your user. Every element should reduce friction and build trust.
GitHub: Your Public Workshop
Your GitHub profile is the first place technical recruiters look. Make it count.
Profile README
Create a README.md in a repository named after your username. This appears at the top of your profile. Include:
- A one-line summary of who you are and what you focus on.
- Two or three bullet points highlighting your strongest skills.
- Links to your best projects, blog, and LinkedIn.
Pinned Repositories
You can pin up to six repositories. Choose projects that show range and depth:
- One end-to-end ML project with deployment.
- One backend or systems project demonstrating engineering rigour.
- One open-source contribution (even a fork with meaningful changes).
Contribution Graph
Consistency matters more than intensity. A steady graph of green squares signals reliability. Aim for small, regular commits rather than sporadic bursts.
What is the most important thing your GitHub profile should demonstrate?
Discussion
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