The way an organization runs on paper (the org chart, the HR record, the LinkedIn profile) is almost never how the work actually happens — people build skills on projects nobody catalogs, work with collaborators who never appear in their formal team, and do their most valuable work in conversations that disappear the moment they end. Silhouette is built to close that gap: an AI-native platform that maps how organizations actually work, so the people inside them can find each other, prove what they've done, and build trust on real signal instead of self-claims.
I lead the work end to end: research and user testing, product strategy, experience architecture, and the design system that ties it together. The defining decision was treating the specification system itself as a design problem, a single source of truth that every downstream consumer (design, engineering, AI tooling alike) reads from, so the system stays coherent surface to surface even as AI-assisted production accelerates. The hardest part of design leadership in an AI-native context isn't generating more; it's keeping what gets generated trustworthy.