Product leader. Builder. 7+ years shipping production AI, data, and analytics systems in regulated industries. I build the infrastructure layer between messy real-world operations and intelligent software. My work sits at the intersection of applied AI, analytics platforms, and product execution in healthcare, fintech, and payments. Two 6-figure exits, one failed startup. One patent. Teams scaled to 67 across engineering, design, data, and ops.
Applied AI & ML Systems · LLM applications, AI agents, RAG pipelines, retrieval systems, evaluation frameworks, production monitoring Analytics & Data Platforms · Multi-tenant analytics, embedded dashboards, BI products, data contracts, event telemetry Infrastructure · Snowflake, dbt, SQL modeling, ELT pipelines, AWS, MLflow Product · Zero-to-one builds in regulated environments, monetization, GTM, stakeholder alignment under compliance constraints
- 📍 New York
- 🎓 MBA @ Columbia Business School (Data Analytics & AI)
- 📄 Google Scholar
I spec, prototype, and ship. Codex/Claude for prototyping and data work. SQL and dbt for analytics infrastructure. LLMs, RAG, and LangChain for AI systems. Snowflake and AWS in production. I read code, write code when it's the fastest path, and review PRs when it matters.
- AI Eval · Evaluation framework for LLM outputs → openevalops.vercel.app
- Risk Monitor . Real Estate Risk Monitor → property-risk-monitor.vercel.app