Farhaan Khan.

I'm a CS student at VIT Vellore with a research background in quantum-hybrid machine learning and a production background in full-stack and backend engineering. My work spans med-tech, industrial electronics, and AR/VR — each role reinforcing the importance of solid engineering in applying cutting-edge research.

I'm drawn to problems that sit at the edge of what's computationally feasible — whether that's squeezing performance out of a deepfake detector using quantum feature selection, or building an AI career tool that thousands of students actually use.

Outside of code, I'm usually reading about quantum algorithms, contributing to open-source tooling, or trying to beat my LeetCode rating.