About

I've spent eight years designing products across AI, fashion, mobility and EdTech, most of it at Snap, shipping 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, and I do my best work in the room from day one, not handed a brief after the decisions are made.

Two questions kept following me: how do you make a model's output feel trustworthy rather than arbitrary, and how do you design for latency, uncertainty and the first session before personalisation kicks in? In my last year at Snap they became the brief for Muse, an AI stylist I designed from 0 to 1.

Then I set that brief for myself and shipped Roam, an AI trip planner, solo, from first research note to a live app tested by real users. Both taught me the same thing: good AI design isn't the interface layer, it's closing the gap between what the model knows and what the user expects. With today's tooling one designer can carry that whole problem, research to deployed code, and bring it to a team already tested.

Off the clock I'm usually trying a new recipe, keeping my plants alive, exploring a new corner of Berlin, or watching something obscure nobody I know has heard of.