I’ve spent more than a decade designing products that help people make complicated decisions. A teacher trying to understand what a student needs next. A student stuck on a problem. A job seeker trying to figure out which opportunity is worth pursuing.
Today I lead product and technology at Offboard, where I design, prototype, and build AI systems for people navigating career transitions. I’m still a designer first. I just work much closer to the code now.
Before any of that, I played football at the University of Utah, and then professionally in the CFL. More about me
People in a career transition rebuild the same context across a dozen disconnected tools. As founding designer, I designed and engineered Offboard end to end: a workspace for each opportunity, an AI pipeline that checks a role before tailoring anything, and drafts the person reviews before anything goes out.
LUMO is the assistant inside Offboard. It reads the person’s own search, sits beside the page they are on, and turns every change into a card they confirm. I designed and built the conversation, the tools, and the rules for when it may act.
An early product has too little data to train a model, so I built a bench instead: pass-or-fail cases, a harder set from real conversations, and a check on the grader itself. When a cheaper model failed a required safety case, LUMO kept its model.
A predicted skill level does not tell a teacher what to do next, and a single score is easy to overread. I led the experience architecture: predicted ranges instead of one score, a clear no-data state, and Insights, which separates skill from engagement.
An AI tutor can answer the question and still skip the learning. I led UX for Flexi: follow-up actions, so a student can ask for the next kind of help without writing a better prompt, and labels that separate AI answers from CK-12 Library content.
Teams want every button, menu, and dialog in a product to move the same way. Motif is a motion design system you tune with three sliders, watch on a live app, and export as code and as rules an AI coding agent follows. I built it in three days with Claude Code.
College football players often pick a transfer school in a few days, on a coach’s pitch. I’m building a report that shows a player where they would project to start, from public roster data. The landing page and data pipeline are live. The app is designed, not built.
At shift change, operations systems keep what happened but lose why a person chose it. Neuron Shift is a prototype console that keeps each decision and its reason, and adds friction as an action gets harder to undo. All of its data is simulated.