I am an undergrad studying CS with a focus on systems at Stanford. 🌲
I'm interested in solving problems at scale involving search, compute, data, distributed systems, and ML. This summer, I'm working on improving training efficiency for foundation models at AWS in Seattle.
I like to approach problems that make sense of complex adaptive systems. I also like to design interactive software with precision and intent to maximize the knowledge that computing systems can provide. During high school, I was fortunate to work on researching biological neural networks and clinical object detection with Professor Emeritus Bernard Widrow and Dr. Daniel Rubin respectively. I grew up in the San Francisco Bay Area.
I've worked on formal research projects focused on adaptive biological learning (Hebbian-LMS), seizure patient tracking for patients, and compressing and pruning GPT-2. Here's a selection of some of my projects:
Cambrian 🦕: The co-pilot for AI research: ML-powered search, bookmarking, and QA
Plato 🧙: AI pair-programming platform powered by your voice