I'm a product design leader working at the intersection of AI, complex systems, and product strategy. I help teams turn emerging technology into experiences people can understand, trust, and use.
Enabling UX to take ownership of eval frameworks
Shifting away from manual, engineer-owned processes to an automated eval process that gave the team rich behavioral data.
Finding alignment across leadership teams
How siloed practices threatened the success of the company's biggest bet — and what I did to turn it around.
Moving from bespoke products to a catalog of actions
In a world where the company is always pivoting, how do we create consistency and prevent teams from duplicating work?
Turning AI experimentation into meaningful design leverage
AI tools give designers endless ways to automate, prototype, code, and extend their capabilities. The hard part is knowing what actually creates real leverage in a cost effective way and how to build a team that can use AI to produce better work, not just more of it.
UX should help define how AI quality is measured — not just how AI behaves on screen.
When products act on a user's behalf, UX becomes about orchestration, oversight, and intervention.
Products change. Workflows persist. Mapping the underlying system creates reusable experiences instead of one-off features.
Trust comes from transparency, appropriate uncertainty, and giving people meaningful control when things go wrong.
Speaking inquiries
I speak on AI evaluation, agentic UX, and leading design in technical organizations. Get in touch →
People don't fail — systems do.
My role as a leader is to create the conditions for great work: clarity around the problem, trust within the team, and enough context and autonomy for people to make good decisions. I want teams to become more capable because I was there, not more dependent on me.