Hi everyone, I'm Maryam. I'm a BS Artificial Intelligence undergrad at GIKI (Ghulam Ishaq Khan Institute) in Pakistan, graduating in 2028, and using GitHub to build a real portfolio while I aim for SWE/AI-ML internships, hackathons, and orgs like NIC Pakistan and GDGoC.

I got into this properly through hands-on projects rather than just coursework — building, breaking, and rebuilding things has taught me way more than tutorials ever did.
https://github.com/Maryam19122005
https://my-portfolio-taupe-mu-35.vercel.app/
https://github.com/Maryam19122005/my_portfolio

Where are you in your GitHub journey?

Building a portfolio of real, deployed projects

And where are you going next on GitHub?

I want to keep pushing my projects from "hackathon-finished" to production-quality — better testing, documentation, and polish. I'm also getting into open source contributions, starting small (docs, bug fixes) and working up from there.

What technical skills or projects are you working on?

My flagship project is VitalWatch, a production MLOps pipeline for sepsis detection trained on 790K+ ICU records, built with FastAPI, Docker, PostgreSQL, and CI/CD.

I also built StudySwap, a campus study-spot sharing platform, solo, in a 24-hour hackathon (FastAPI, SQLAlchemy, Jinja2), and most recently led backend, AI integration, and deployment for StudyFlow — a gamified academic task manager built in a 2.5-hour hackathon module using Next.js, Google Gemini, and Vite/React.

My personal site is a Next.js 15 + TypeScript + Tailwind v4 portfolio, and right now I'm deep in DSA fundamentals (arrays, strings, recursion) working through Striver's A2Z Sheet.

Got a question for us?

For people who've broken into AI/ML roles from a mixed portfolio (research-ish projects + hackathon builds) — how did you decide what to lead with when applying?