About

I've spent eight years designing products at the intersection of AI, fashion, mobility, and EdTech. The bulk of that was at Snap, where I worked closely with engineers and PMs to ship end-to-end experiences for major retail clients from early research through to production.

I love the point where design systems meet real user behaviour. Getting the architecture right so the experience feels inevitable rather than designed. I do my best work on teams where I'm in the room from day one, not handed a brief after the decisions are made.

Across that work I kept running into the same problems. How do you make a model's output feel trustworthy rather than arbitrary? How do you design for latency, uncertainty, and the first session before any personalisation has kicked in? At Snap those weren't abstract questions. They were the actual brief. What I took from it is that good AI product design isn't really about the interface layer. It's about closing the gap between what the model knows and what the user expects, enough that they keep going.

When I'm not designing I'm usually experimenting with a new recipe, trying to keep my plants alive, exploring a new neighbourhood in Berlin, or watching something obscure on a streaming platform nobody I know has heard of.