BUILDING THE FUTURE
OF QUANTAMENTAL
ANALYTICS

I'm an applied AI engineer focused on quantitative finance and agent systems. I build end-to-end trading infrastructure — research, backtesting, execution, and validation — and have led agentic products from concept to production.

Experience

Currently building Zen Trading's agentic quantamental platform — multi-hop reasoning equity research, a productionized FinRL-X stack (XGBoost stock selection + TD3 deep-RL allocation, deployed to live paper trading), and Tradfi-Agent for autonomous perpetual-futures trading. The bet is that agentic systems work best as a rigorous layer over deterministic models, not a replacement for them.

Previously at FedML, Alibaba Cloud PAI (federated learning & EAS deployment), and Tencent CV Lab (CV tooling & model deployment, intern).

Studied at Carnegie Mellon University (MSIT) and Queen Mary University of London & Beijing University of Posts and Telecommunications (BEng & BMgt).

📍 Based in Bay Area, California • Authorized to work in the United States (no H-1B sponsorship required)