about

I’m a graduate student at Mila, broadly interested in building reliable machine learning systems that work at scale. At Mila, my research has focused on topics in RL, mainly offline (explainability and adaptive regularization), real-time RL, and benchmarking SSL methods for Atari games.

My larger goal is to develop safe, interpretable, real-time, and sample-efficient agents, motivating my interests in areas like mechanistic interpretability, world models, and real-time systems.

Before Mila, I co-founded Offside (scaled to 100k users), spent ~2 years at DFKI in Germany developing real-time vision algorithms for precision farming (blog post), and earned a BEng (Thesis) in Computer Science from BITS Pilani in 2020.

Beyond Research

Outside of research, I enjoy reading about ancient civilizations, listening to classic rock, trekking, and strength training. I also write blogs reflecting on projects and life learnings. Check them out here.