I'm a first year PhD student in UC Berkeley's RISELab, where I work on systems for machine learning. My current work is focused on real-time feature stores. Before Berkeley, I founded Glisten AI, which builds AI to categorize and tag product data and was part of Y Combinator's W20 batch.
My undergraduate degree is from MIT, where I studied computer science and math and did research at CSAIL in the Supertech Group. While at MIT, I directed Code for Good, helped organize HackMIT, and interned at MemSQL, MobLab, and Bloomberg.
Kaler, Tim, Brian Wheatman, and Sarah Wooders. "High-throughput image alignment for connectomics using frugal snap judgments: poster." Proceedings of the 24th Symposium on Principles and Practice of Parallel Programming. 2019.