UX Designer focused on platform, experimentation, and AI systems, shaping how data, design, and governance work together at enterprise scale.
I work in ambiguous spaces where the challenge isn’t a single feature, but designing systems that learn, adapt, and hold up over time.
Selected work
Case studies focused on platform leverage: reusable components, experimentation loops, and AI data integrity. Full details are gated after TL;DR on each page due to proprietary systems and internal workflows.
Designing a Component Platform at Enterprise Scale
Migrating, governing, and scaling reusable components across att.com while supporting continuous experimentation.
Designing Experimentation as a System at Scale
Standardizing A/B testing to increase learning velocity and evolve components tied to KPIs across funnels.
Designing Data Integrity for an Internal LLM Platform
Preventing silent failures by identifying analytics ingestion issues that could produce plausible but incorrect AI insights.
About + contact
Previously at AT&T, I designed systems that help teams move fast without fragmenting — component platforms, experimentation loops, and AI-adjacent workflows. I’m targeting staff-level IC roles on platform and AI/product teams where decision quality and durability matter.