About Me

I’m a Product Manager and AI Practitioner who turns credible research into real products — from LLM prototypes to instrumented pilots and enterprise launches.

My path here started in UX and accessibility, where I learned how to see what others miss — the subtle moments when products fail to fit human behavior. Over 15 years, that foundation grew into a product practice centered on strategic problem decomposition, measurable outcomes, and human-AI collaboration.

At FordLabs, I led 0→1 initiatives including an 8-week MVP that centralized EV dealer readiness for 1,500+ dealers and StoryJam, a bias-resilient collaboration tool that achieved 2–3x higher launch engagement than comparable launches (612 MAU; 4.3/5 CSAT).
In Ford’s Digital Cabin team, I built an LLM-backed research repository that cut synthesis time by ~60% and applied Responsible AI guardrails for fairness, privacy, and hallucination risk across voice-assistant prototypes.

Now, as an independent AI practitioner, I’m exploring how intelligent systems can be both technically sound and emotionally intelligent — through small, tightly-scoped pilots like a voice posing coach that pivots around latency and flow, and a sensory-aware meal planner designed to reduce stress and waste for families managing sensory sensitivities.

Across every role, I’m driven by a simple belief:

Understanding constraints unlocks innovation.
Technical depth doesn’t limit creativity — it enables it.

I lead with strategic product thinking and intellectual humility — breaking complex problems into testable hypotheses, learning through real data, and building products that balance rigor, empathy, and responsibility.

Decompose problems. Build with empathy. Learn relentlessly.