I’m a product designer who makes complex technical systems intuitive and actionable. For 10+ years I’ve focused on enterprise platforms, developer tools, and data-heavy applications, designing experiences that help technical and non-technical users make better decisions faster.

How I work

I work like a design engineer. I don’t just hand off mockups, I code and ship changes through pull requests myself. The distance between a design decision and what users actually run is where most product quality is lost, and AI now makes that gap collapsible in a way it wasn’t three years ago. That changes four things:

• Research synthesis at scale AI themes large transcript sets in a fraction of the time, so the bottleneck moves from processing to judgment.
• Divergent exploration without the cost Dashboard work lives or dies on layout, density, and hierarchy; AI lets me explore and validate many real options against real data.
• Prototypes that run, not prototypes that pretend A static, happy-path Figma frame is always far from a non-deterministic system in reality—and you can’t practice that craft on a static frame.
• Leverage that compounds across the org Owning components as code means one improvement ships everywhere they’re used; AI accelerates the work, the system multiplies it.

AI multiplies output, but output was never the constraint. Taste, research, and judgment about what is worth building and what ‘good’ looks like are. My job is to be the person who decides what’s worth multiplying.

Work history

See my LinkedIn for past work experience.