AI-native product design
Systems where the model is the interaction — voice, agents, ambient assistance — not a chat panel bolted onto a SaaS shell.
A twenty-year design practice, audited in full: five companies, eighteen shipped independent works, zero frameworks. Figures verified against software that actually exists. Read before investing your headcount.
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 did not shrink the design problem. It made the problem about judgment — what to build, how it should behave in someone's actual life, and shipping it before the moment passes.
The portfolio is the proof. Everything reported below exists, runs, and is used.
Multilingual content systems and large-scale web platforms across an international entertainment portfolio. The technical depth on the balance sheet was acquired here.
Global prototyping teams led across offices and product lines. Rebrand and personalization work, scalable design process, a mentored generation of senior 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. 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 across the design organization.
Continuous operations. AI tools, design utilities, music, video, and arcade games — real software, built end-to-end, tested in public.
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 by one person.
Ambiguous briefs carried through research, framing, design, prototype, and shipped product — without a roadmap.
Legacy cart, checkout, account, and internal tooling, replaced with systems people actually want to use.
Custom copilots, prompt libraries, synthetic research environments, workflow accelerators — used by real teams.
Built and led prototyping teams at Yahoo. Drives AI adoption through teaching, tooling, and example. IC, lead, or director.
Open to senior IC, lead, and director conversations. State what you're building, what's ambiguous about it, and your timeline. Due diligence materials ship same-day.
Open negotiations ↗