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.
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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.
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Causal Inference & Econometrics: Experimental designs (RCTs, A/B Testing, RSM), Quasi-experimental methods (DiD, RDD, IV, PSM, Interrupted Time Series, Synthetic Controls).
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Technical Stack: Python, R, T-SQL, JavaScript, n8n, AWS (Amplify).