I focus on design systems that actually work inside product teams at scale. At Indeed, I drove employer product system adoption to 94% across 500+ teams, with a visual refresh and measurable gains in consistency, efficiency, and workflow speed. I align product, design, and engineering on standards and day-to-day workflows so systems hold up at scale and maintain UI quality and a11y.
How I work.
Impact & leadership
Align product, design, and engineering on standards for UI quality, interaction, and motion, and tie adoption to product quality, developer efficiency, and measurable workflow improvements.
Systems & architecture
Define semantic tokens, component patterns, and interaction standards so teams share a single source of truth across platforms without slowing design-to-development handoff.
Governance at scale
Put versioning, contribution models, and deprecation workflows in place so the system can evolve across hundreds or thousands of repositories without disrupting product teams.
Adoption in practice
Embed with product teams to close gaps between system intent and implementation, so what ships in production matches the standard, not just the documentation.
Quality & accessibility
Layer in automated QA and accessibility validation so reviews stay fast, consistent, and grounded in real constraints, not manual bottlenecks.
Automation & scale
Build documentation and delivery pipelines (Figma API, CI, AI where it fits) and define how AI-assisted development integrates, including MCP-based patterns and review aligned to system constraints.
Design systems & product work.
Platform systems, governance and adoption, AI-in-system constraints, and high-stakes product UI, from entertainment launches and real estate platforms to employer hiring product.
Lunchbox Design System
Lunchbox Design System
Multi-platform architecture: semantic tokens, scalable theming, engineering integration, and governance that scaled adoption across hundreds of teams without rigidity.
Read case studyBig Easy · AI design system
Big Easy · AI design system
Evolving the employer design system for conversational and generative AI: flexible interaction primitives, composable workflows, and operational reliability so hiring products can iterate without fragmenting the platform.
Read case studyEmployer product design system
Employer product design system
Embedded product infrastructure: tooling, automation, implementation workflows, and observability that moved adoption from 45% to 94% across 500+ teams, plus employer packages, quality systems, and AI guardrails without splintering the central system.
Read case studyTalent Scout
Talent Scout
An AI-driven hiring system designed to meet employers where they already work. I helped bring the product forward early to validate how AI operates across ATS platforms and Indeed surfaces, connecting workflows, surfacing the right candidates, and guiding next actions in real hiring environments, within the constraints of the employer product system.
Read case studyDeep Sourcing
Deep Sourcing
An AI-powered candidate sourcing system that moves beyond traditional search. I helped validate how AI interprets hiring criteria, generates search strategies, ranks candidates across results, and improves until high-quality matches surface, while keeping implementation aligned with scalable UI and workflow standards.
Read case studyHow I think.
Building for Evolution
Systems should support product change without creating fragmentation. Structure that resists evolution is a liability, not a foundation.
Flexibility Through Structure
Consistency comes from durable foundations, not rigid interfaces. The right constraints enable variance without breaking coherence.
Operational Design
The best systems improve how teams actually work, not just how interfaces look. Design infrastructure is product infrastructure.
AI Changes Interface Architecture
Conversational and generative products require adaptive systems, not static UI patterns. The next generation of design systems accounts for AI from the foundation up.
Systems as product infrastructure.
Design systems are only as valuable as the architecture behind them. I work across the full stack, from token foundations to AI interaction patterns, governance to implementation pipelines.
Token Architecture
Semantic scales, theming layers, and cross-platform output pipelines
Implementation Pipelines
CI/CD, design-to-code automation, and delivery infrastructure at scale
Governance Structures
Versioning, contribution models, and deprecation across hundreds of repos
Workflow Diagrams
Process maps that make complex operations legible across teams
AI Interaction Systems
Adaptive primitives for conversational and generative product surfaces
System Maps
Visual architecture that communicates organizational scale and dependency
Impact at scale.
94%
design system adoption across employer product
500+
product teams supported
73%
reduction in UI fragmentation
$4.2M
estimated annual productivity savings
2,000+
UI surfaces refreshed
1,200+
repositories governed
Current Focus
Current focus.
AI-assisted product systems, conversational workflow architecture, scalable frontend infrastructure, and adaptive interaction models for enterprise products.
Let's connect.
Open to conversations about design systems, experience architecture, and how teams ship consistent product UI at scale.
Book a call