I started coding six years ago and never really stopped. What hooked me wasn't apps — it was signals: the idea that a heartbeat, a song, or an image is just a waveform waiting to be understood.

That thread runs through everything I do. At Rutgers I'm pursuing dual degrees in Computer Science and Finance. At the University of Maryland I built CUDA-accelerated pipelines that cut diffusion model training time by 25%. At Rutgers WINLAB I built an 8-bit CPU from breadboards and logic gates. And with CardiacCare, I trained a deep learning model that classifies arrhythmias from raw ECGs at 97% accuracy — work I presented at the IAFOR Undergraduate Research Symposium in Tokyo.

When I'm not writing code I'm usually listening to music — about 80,000 minutes a year of it — or out visiting national parks (15 and counting). Probably why so much of my work ends up being about rhythm, timing, and pulse.