I build and ship AI products end to end — strategy, the build, the launch, the iteration. Four are live: Counsel, Verdict, Tape, and Redline. Before this, three years shipping enterprise data systems for Fortune 500 clients on the Microsoft Power BI team at LTI Mindtree, the engineering depth behind products that actually ship.
An AI tool that takes any portfolio, will, or 401(k) and returns a plain-English brief: what you own, what it's doing, what to ask, and what to do next.
An AI tool that reads a brand's ad data and returns a plain-English Monday morning brief: where the spend went, what to do this week, what to test next.
An AI tool that reads any stock the way a trading desk reads the tape, and returns a plain-English situation brief: what moved, why, what to watch next.
An AI tool that runs the production-readiness review every AI PM does on Tuesday morning. Three reviewers mark up the dossier and a verdict lands: Deploy, Hold, or Kill.
An AI company brain that watches decisions get made in Slack and email, confirms the rule with the person who made it, and turns scattered know-how into answers anyone can ask. A five-stage capture engine tells a real decision from chatter, and refuses to guess when no one has confirmed the answer.
An agentic AI system I designed, built, and run on myself. Apollo + Apify + n8n + LLMs orchestrating verified contact discovery, resume tailoring, and personalized outreach, end to end. The product instinct behind it: own the whole loop, not just one step.
An AI-driven match simulation platform for sports teams. Models each player's tendencies, decision patterns, and performance characteristics from available data, then simulates likely match outcomes — so the team playing against them can prepare counter-strategies grounded in how the opponent actually plays. Currently a concept under exploration.
Open to full-time AI product roles, building and managing. Available for advisory and contract work. Reply within 24 hours.