Complex products with users in the iteration loop.

The work

Hard domains, established workflows, and real consequences when the product gets something wrong.

I design products where the underlying system is difficult and the interface has to reduce complexity without hiding what matters. That includes trustworthy AI, enterprise tools for domain experts, and public-scale services where confusion creates real operational cost.

My role is to determine what should be built before time and engineering investment lock in the wrong direction. I work directly with users, turn uncertain ideas into testable product behavior, and recommend against a concept when the evidence does not support it.

Explore the work by domain, practice, and outcome.

Teams can also engage a 6–12 week embedded principal — one problem, not a retainer.

How I work

Shorten the distance between a product decision and real evidence.

Functional code lets me put ideas in front of the people who will depend on them before decisions harden. The prototype may test a workflow, expose a bad assumption, or become the foundation of the shipped product.

That approach has shaped clinical voice AI, security investigation tools, public services, and independently built systems designed around uncertain machine output.

My full product-design approach covers discovery, product definition, prototyping, delivery, and knowing when not to build.