About
I’m a UX leader who builds systems with AI as a co-creator. I move ideas to production-grade proofs in weeks—then help teams scale them with clarity and craft.
What I do
- Enterprise UX & design systems: Align complex products around clear patterns and semantics.
- Semantic interfaces: Components that understand meaning (status, cancellation, time, money) and render by context.
- Temporal intelligence: Make time visible—queue fairness, decay, and drift—so leaders trust automation.
- Production-grade prototypes: Real data, real flows, “show me” over slideware.
How I work with AI
- Viability sprints (2–4 weeks): Ship a working proof that a team can harden—code, UX, docs.
- Explainability first: Semantic manifests, contribution views, and decision narratives—so people know why.
- Design tokens & semantics: CSS-semantic architecture for speed (rendering) and scale (consistency).
- Partnering with DS/Eng: Shared naming, edge-case handling, and robust empty/loading/error states.
Principles
- Clarity beats cleverness: Fewer concepts, stronger semantics.
- Context over type: Same data, different UI by list/detail/form/timeline.
- Time matters: We measure outcomes over time, not just at a moment.
- Production or it didn’t happen: Real demos change the conversation.
Focus areas
- Semantic UI generation (Morpheus): From schemas to explainable, context-aware interfaces.
- Temporal fairness & metrics: QPF, TDP, decay—visualized in product, not a PDF.
- Design systems for data apps: Tokens, dark-first ergonomics, time-series & alert semantics.
- Infrastructure-grade UX: Dashboards and tooling that teams love to live in.
Selected outcomes
- Modern Workforce Index (Paylocity): Research → scoring → product; leaders adopted a common language for org health.
- Industrial IoT design system (Uptake): Time-series & alarm patterns unified; faster delivery across teams.
- Morpheus prototypes: 38% faster rendering, 71% smaller CSS payload via semantic classes and tokens.
- Temporal mini-lab: Live demos that make queue fairness and drift obvious to non-experts.
Tooling
- Design: Figma, tokens, accessibility baselines, visual regression checks.
- Frontend: HTML/CSS (semantic/tokens), TypeScript/React when needed, static hosting for speed.
- Data & prototypes: JSON/OpenAPI, simple servers when required, dashboards with real signals.
- AI workflow: Prompted code + human design; I keep the narrative coherent and the UX sharp.
Contact
I’m interested in teams that want to build with AI—fast, explainable, and production-minded.
Prefer a walkthrough? I can demo the UI generator and temporal mini-lab live.