Product Designer
I help teams find the problem
behind the problem.
Research, strategy, design, and execution: turning ambiguity into products people actually use.
Designed and built by me with AI-assisted coding, using Next.js and Vercel.
Previously at
Selected Work
Rethinking Infrastructure Efficiency
Efficiency work was split across three tools and two organizational roadmaps. I created the shared model that aligned Capacity and Efficiency, then reframed consolidation around each user's role and workflow. The resulting modular platform and contextual AI experience shipped for 3,400 engineers.
Rebuilding Trust in Infrastructure Capacity
Capacity operators distrusted the data behind high-stakes planning decisions, driving 80% of demand management into spreadsheets. I reframed seven technical data-quality dimensions around decision confidence, translating raw signals into contextual AI guidance and aligning engineering, data, and design around a committed roadmap.
Creating a Social Phenomenon in HealthTech
A consumer prenatal genetics product that had to communicate inherent uncertainty honestly. Trait results were designed as visual predictions rather than certainties, preventing misinterpretation of probabilistic health data.
Dispensary Admin Platform
Cannabis dispensary operators couldn't find what they needed in the platform they ran their business on. A research-driven IA redesign (grounded in card sorting, stakeholder workshops, and field research at real dispensaries) restructured how operators navigate a feature-rich B2B platform serving stores from solo owners to 20-location chains.
Background
I'm a product designer who helps teams find the problem behind the problem.
The stated problem is often a symptom of something deeper. A brief to consolidate three infrastructure tools became a personalization challenge. A data quality initiative became a trust problem. I've found that getting the reframe right is often the most important thing a designer can do.
More about me →