last login: san francisco
A tiny desktop for the things I am building, studying, and playing with.
NOW
building AI for multiplayer gamesQUEUE
agents, evals, fairness, distributed systemsABOUT
Hey! I'm currently living in SF and building Instaplay, AI for multiplayer games.
Before this, I was an Associate Product Manager at Salesforce, where I spearheaded RL Environments and was Product Lead for Agentforce Tableau's agentic data analysis platform.
I received my Bachelor's and Master's degrees in Computer Science concurrently from Harvard University through the AB/SM program, focusing on ML Fairness and Distributed Systems and learning from Jim Waldo, Stephen Chong, Yiling Chen, and Cynthia Dwork.
Previously, I co-founded an LLMOps startup building custom LLM Evals and raised from Pear VC and Unusual Ventures.
Outside of work, I play tennis, eat spicy Sichuan food, and DJ.
RESEARCH
Graduate-level coursework and research projects.
We explore interpretable machine learning techniques to help stakeholders understand ML models and their decision-making processes. This work focuses on capturing the underlying reasoning of black box methods through various interpretability approaches.
We address the challenge of creating stable compute marketplaces for machine learning, where users can rent computational resources for training large models. Our work implements pricing and matching algorithms that handle multi-dimensional preference reporting in practice.
EXPERIENCE
1 of 12 APM's in cohort. Pitched and led RL Environments. Product Lead for Agentforce Tableau, building the agentic data analysis platform.
