
Rethinking activation
How might we help new users reach value through exploration instead of instruction?
I have 15+ years of experience shipping great products. Currently making software for the millions of people who use GitLab.

How might we help new users reach value through exploration instead of instruction?

How might we simplify registration, improve conversion, and create a foundation for faster experimentation?

How might we make AI settings clear, consistent, and enterprise-ready?

How might we help teams build consistent AI experiences without slowing product development?
I started my career as a software engineer before moving into product design. Since then, I’ve spent more than 15 years working across enterprise software, growth, design systems, and AI products.
I’m currently a senior product designer at GitLab, where I’ve worked across AI and growth. What keeps me interested is the chance to learn something complicated, understand how it fits together, and make it more useful.
Outside work, I read, cook, and practice aerial circus, mostly trapeze. I also love to travel, and I usually plan the trip around what I want to eat.
I use research and data to focus on the highest-impact opportunity.
I consider how each decision affects the broader product, its technical foundation, and other teams.
I align teams on the goal, then define smaller steps that move us toward it.
My engineering background helps me make technical tradeoffs and ship production code.
I have several years of experience designing agentic AI products and use AI to prototype and automate routine work.