hi, i'm

Izma Qamar,
turning curiosity into commits.

Full stack web developer exploring AI/ML; a CS student at FAST-NUCES, Lahore. I started with C++ and systems-level code, now I mostly live in React and Node, and I'm going deeper into machine learning one project at a time.

View my work →Get in touch

3+shipped projects11monthly active users on SpendSmart99.4%accuracy on my custom CNN

About

Building more than finished products

I'm a computer science student at FAST National University of Computer & Emerging Sciences, class of 2028. Most of what I know comes from building; every project is an excuse to learn something I don't know yet, and honestly, I enjoy the process more than the finished product.

My foundation is full stack web development: React, Node, TypeScript, real deployed apps with real users. Lately I've been steering toward AI/ML, training my own models in PyTorch, integrating LLMs into products people actually use, and picking up research experience along the way.

Currently splitting time between two internships at Dafi Labs (DevOps and MERN stack), creating gen-AI content for PakLaunch, and always down to talk to other people building things.

Quick facts

BS Computer Science @ FAST-NUCES, expected 2028

DevOps & MERN Intern @ Dafi Labs

Gen-AI Content Creator @ PakLaunch

Research evaluation with UIUC's SRSE program

Based in Lahore, Pakistan 🌸

Experience

Where I've been learning

Real work, real stakes; the stuff that doesn't come from tutorials.

JUL 2026 — PRESENT

DevOps Intern

Dafi Labs

Maintaining deployment pipelines and infrastructure.

JUL 2026 — PRESENT

MERN Stack Intern

Dafi Labs

Shipping features on a MERN stack product.

JUL 2026 — PRESENT

Web Developer

Niyyat-e-Khidmat

Building the website for this welfare NGO from the ground up.

JUN 2026 — PRESENT

Content Creator, Gen-AI

PakLaunch

Creating and editing content using generative AI tools.

JUN 2026

Research Evaluation Task

University of Illinois Urbana-Champaign — SRSE

Critiqued five peer-reviewed papers on LLM sycophancy (CHI, ICLR, Science) for UIUC's Summer Research in Software Engineering program; identified methodological limitations like unproven causal claims and sampling bias, then designed an original longitudinal research proposal aimed at venues like CHI, CSCW, and FAccT.

2026