Principal Data Scientist & Applied Econometrician
San Francisco Bay Area | LinkedIn | Email

AI product leader and applied econometrician building production agentic systems, multimodal RAG architectures, and causal experimentation frameworks. Experienced leading cross-functional technical teams from 0-to-1 launch to scale.

• AI Arbitration Platform — Multimodal RAG agent and text LLM pipeline for contract dispute determination; all open-sourced.
• PaperScore — Manuscript evaluation platform powered by custom LLM pipelines and automated scholarly metadata ingestion.
• TeammateMe — Collaboration platform scaled through causal experimentation, A/B testing, and funnel optimization.
• ParaLead — Decentralized Autonomous Corporation with ERC20 tokens and bonding curves for algorithmic governance.
• Better Governance: From Theories to Codes — Book published by Springer Nature (2026) covering algorithmic governance.

• AI & Data Science: LLM/RAG pipelines, AI Agents, Python (LangChain, PyTorch), R, MATLAB, T-SQL, JavaScript, n8n.
• Causal Inference & Econometrics: Experimental design, Quasi-experimental design (DiD, RDD, IV, Synthetic Controls, SEM).
• Product Leadership: 0-to-1 Product Management, Technical Roadmaps, GTM, Growth Analytics, Team Leadership.