Systems thinking from the start.
A CS foundation and early full-stack work shaped how I think about architecture, constraints, failure modes, and the practical act of shipping.
About
Research depth, product judgment, and builder fluency.
I started in computer science, moved into research and strategy, built research organizations at scale, and came back to building with AI as the new material.
Human behavior as strategy.
Market research, UX research, and an MBA helped me translate human needs into product direction and business decisions.
Research orgs from zero.
I built and led research functions across OKX, X / Twitter, Yahoo, Unilever, and Clorox, with global work across APAC, Europe, and the US.
Prototypes, agents, and operating systems.
Today I combine research leadership with hands-on AI building: agents, dashboards, knowledge bases, research workflows, and public product experiments.
What I bring
Senior research judgment for AI systems that depend on human adoption.
AI and product strategy
Direction grounded in use.
Shaping AI product direction around user needs, behavior change, risk, and product-market fit.
Research leadership
Evidence that changes decisions.
Building research operating models that connect insight to roadmaps, executive decisions, and measurable outcomes.
Builder practice
Enough technical depth to ship.
Turning concepts into working systems, prototypes, demos, and repeatable workflows rather than static strategy decks.