Independent Product Builder & UX Strategist · AI and ML enterprise tools
I design the moment a person decides whether to trust a machine.
Trust calibration
Before a screen, there was a site. I learned to design for security and clarity first, so a person could move through a space without second-guessing it. Trust calibration does the same for a model, making its uncertainty safe to act on.
Evidence: ShelfView, HITL Annotations
Selected work
This work is under NDA, so client screens stay private. Each case study below narrates the design process through original visuals drawn from scratch. Full artefacts live behind an NDA gate; request access for the password. The self-directed case study is still in progress and sits behind the same password.
Currently building
Plinthly
A mortgage-readiness tool for first-time buyers. The confidence patterns from enterprise AI, applied to a consumer decision that is mostly fear and uncertainty.
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