I study Computer Science (and some Math) at Purdue University.

I'm broadly interested in improving compute and data efficiency across the AI stack. My immediate goal is to build intuition for each layer so I can contribute meaningfully to both.

So far, this has included large-scale serving infrastructure at Cartesia AI, GPU benchmarking work at Tensara, research on optimizer dynamics, and self-supervised representation learning for healthcare at the CVIRL and Heinz labs.

Some of my past work includes BoilerClasses, What Did You Do, Pulse, Tempus, and Interview Checklist. Even before that, I was really into competitive programming and linguistics.

Outside of all this, I love a good pesto dish, roadtrips, minimalist design and whodunits. I also sometimes try to make generative sketches.