About Me
I'm a Data Science and Applied Mathematics student at U.C. Berkeley (GPA: 3.81, graduating May 2026). I build ML/AI systems that work in production — from confidence calibration research to AI-native pipelines that cut six-figure research costs to pennies.
Currently an AI Engineer at the Robyn Dawes Institute, where I ship extraction pipelines, human-in-the-loop validation tools, and full-stack research platforms. Previously a Data Science Intern at Rimble Analytics and a Research Assistant at UC Berkeley Haas.
I'm seeking high-agency roles focused on production-grade ML/AI infrastructure and models.