AI Product Manager. I work on product strategy for agentic systems, retrieval products, evaluation frameworks, and human-in-the-loop designs—where trust and governance are product requirements, not afterthoughts.
I publish complete product case studies: customer problem, principles, architecture decisions, PRDs, evaluation methodology, tradeoffs, and launch thinking. The goal is production AI judgment—not demos, prompts, or tutorials.
Start here → Knowledge Agent
Flagship case study: human-in-the-loop retrieval for high-stakes decision support.
Problem → principles → PRD → architecture → evaluation → trust & governance → ship
I turn ambiguous AI opportunities into executable product systems. Technology supports the story; product decisions are the story.
- Knowledge Agent — HITL retrieval for high-stakes decisions: problem framing, trust design, evaluation, and product architecture
- MCP Evaluation Framework — Risk-tiered eval methodology before Beta and GA
- How I Build PRDs — Product operating system: hypothesis testing before engineering commitment
- ContractIQ — Stage-gated AI SDLC for responsible contract-review workflows
- Conversational SuperAgent — Agentic patterns: supervision routing, specialist agents, clarify-before-answer
- OsteoAdvisor — Trust and comprehension in a healthcare education context
This GitHub is a public AI Product Management portfolio—case studies for hiring managers and product leaders evaluating Principal-track AI PM judgment.