14+ years turning ambiguous, fragmented problems into validated, implementation-ready products — across robotics, AI healthtech, fintech, and enterprise SaaS.
I design the workflows, decision logic, and design-system infrastructure that let products — and the teams behind them — scale.
My work turns implicit, fragmented processes into explicit product architecture — clear workflows, scalable design systems, and human-centered, AI-ready experiences. I partner closely with product, engineering, and executive stakeholders, from discovery through implementation-ready handoff.
Cross-industry by design — robotics, AI healthtech, fintech, insurtech, and enterprise SaaS — which sharpens pattern recognition and lets me get productive fast in new, complex domains.
I'm happiest turning messy, complex problems into clear systems people actually enjoy using — and I believe the best AI products keep humans in the loop, not on the sidelines.
Four pillars, equal weight — each balancing the human and the AI side of the work differently.
Discovery, workflow architecture, conversion and operational UX — research turned into validated product decisions.
Scalable components, tokens, and governance that speed delivery and keep design and engineering in sync.
Human-in-the-loop, AI-ready architecture; agentic workflows with RAG memory; AI tools inside a human-led process.
Stakeholder alignment and implementation-ready handoff, from epics and QA to measurable outcomes.
Tell me about your product or role — I'll get back to you personally.
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