Senior Product Designer
I design AI products and make the complex feel simple.
I prototype using real code to design products people trust and move the numbers that matter, across fintech, banking, and B2B SaaS.
A few of the projects: decision tools, AI surfaces, and analytics built for commercial teams.
A few principles that shape how I design and build.
Reducing complexity is the complexity.
The hardest part of designing for technical products isn't the interface. It's making the underlying system legible. Most ‘simple’ designs hide complexity that has to surface eventually.
I build what I design.
I take ideas to working products with AI tools like Claude Code: real prototypes in real code, pushed to GitHub and deployed. Engineers implement from something they can click, not guess at, and the design gets pressure-tested as a product, not screens.
You can't design trust. You earn it.
Especially with AI. Users don't reject AI. They reject AI they can't verify. So I make the system checkable: show the math, the source, the lifecycle, the confidence.
Research closes the loop.
Customer sessions, prototype testing, observed behaviour: the work product isn't the artifact, it's a closer reading of the problem. Ship the design that earned that reading.
Let's build the real thing.
If you're building products people need to trust (or want a designer who can take an idea all the way to a working product), let's talk.