Principal Data Scientist | AI Product Architect | Applied Econometrician
San Francisco Bay Area | LinkedIn | Email

Designed and built multimodal AI agents, RAG pipelines, web3 products, and online experimentation platforms.
Experienced leading cross-functional technical teams from 0-to-1 launch to scale.

• AI Arbitration Platform — A multimodal RAG agent and an 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) proposing a Smart Constitution that enforces an automated governance system.

• Machine Learning & AI: Deep learning, transformers and embedding models, vector databases, LLM/RAG pipelines, agentic AI, K-means clustering, KNN classification, decision trees, random forest, XGBoost.

• Causal Inference & Econometrics: Experimental designs (RCTs, A/B Testing, RSM), Quasi-experimental methods (DiD, RDD, IV, PSM, Interrupted Time Series, Synthetic Controls).

• Technical Stack: Python, R, T-SQL, JavaScript, n8n, AWS (Amplify).