I design software and services that domain experts actually use — tools that make complex, specialised work more efficient, more creative, more rewarding. Fifteen years of it, mostly as a service designer and a hands-on product builder.
I work the structural side of design — service architecture and interaction design: how a product or service fits together and behaves. Hand me a tangled expert workflow, a fifteen-year-old system, or a vague spec, and I'll map how it really works, redesign it end-to-end, and stay close enough to shipping so the fix lands.
For the last six years I've done exactly that at Givaudan — in its Digital Factory innovation incubator and its product IT — designing the software the perfumers, flavourists, and consumer-insight teams depend on. I ran 100+ research sessions across six business-critical applications, owned feature and user-flow redesigns end-to-end, and ran the first measured before/after UX-impact study at Givaudan IT.
My recent work builds systems with AI in the loop, not one-offs: an adoption-analytics pipeline designed to extend to new features; an AI-assisted workflow that turns legacy documentation into a working proof-of-concept; and an AI research assistant, with its own evaluation framework, for non-researchers.
The constant has been the job, not the role: helping domain experts do their best work, and turning it into business impact. I've done it for 3D technical artists at Allegorithmic, clinicians in healthcare, perfumers and flavourists at Givaudan — and for the design and product teams whose own practice I help build. If you're building software for experts in a complex domain, let's talk.