Ma (間) is the Japanese idea that the space between things is itself a thing — that an interval is designed, not left over. Twenty years of product design, composed here almost entirely of what was left out.
I design products at the seam where intent becomes interface — where a half-formed idea has to choose what kind of system it wants to become.
AI didn't shrink the design problem. It made the problem about judgment — choosing what to build, how it should behave in someone's actual life, and which nine ideas to decline so the tenth can breathe.
Multilingual content systems and large-scale web platforms across an international entertainment portfolio. Where the technical depth that still informs current judgment got built.
Led global prototyping teams across offices and product lines. Rebrand and personalization work, scalable design process, mentored a generation of senior designers and prototypers.
High-fidelity prototypes for Google Cloud AI, Assistant, and Android. Bridged design and engineering with builds that accelerated research, alignment, and decisions.
Mobile, voice, and personalization through a digital transformation. Complex recommendation systems translated into interfaces that didn't require explanation.
UX across cart, checkout, wallet, account, and in-store self-checkout. AI tooling, prompt libraries, and education carried across the whole design organization.
The place where ideas are tested in public. AI tools, design utilities, music, video, arcade games — real software, built end-to-end. Proof the practice is current.
Systems where the model is the interaction — voice, agents, ambient assistance — not a chat panel bolted onto a SaaS shell.
Prototypes that behave like real software because they are real software. Built end-to-end, often before the team is convinced.
An ambiguous brief carried through research, framing, design, prototype, and shipped product — without waiting for a roadmap.
Legacy cart, checkout, account, and internal tooling untangled and replaced with systems people actually want to use.
Custom copilots, prompt libraries, synthetic research environments, and workflow accelerators — in use by real teams.
Built and led prototyping teams at Yahoo. Now drives AI adoption through teaching, tooling, and example. IC, lead, or director.
Open to senior IC, lead, and director conversations. The fastest path is direct: what you're building, what's unresolved, what timeline you're on. I'll reply with something concrete.