About

Leading Product Strategy & Design for Complex Systems

I partner with product leaders and executive teams to design and scale complex products, particularly in SaaS, FinTech, Healthcare, and AI-driven systems.

Based in Washington DC, I've spent my career working where ambiguity meets scale. I don't wait for requirements to come from someone else. I define the vision and see it through to production.

Here is what you can rely on me for:

  • Own the outcome. I set direction, craft the experience, and follow it all the way to production. I know when something isn't right, and I can name the reason before any research says so.
  • Simplify the complex. I turn business goals, user needs, and complex data into intuitive products that reduce churn and get users onboard faster. I talk to users directly and let their contradictions reshape my thinking.
  • Build for the long term. I architect 0-to-1 visions and scalable design systems that cut development cycles, and I optimize existing systems as much as I build new ones. I've worked on products used by millions, where small improvements drive significant business impact. Making something already working perform better is its own kind of craft.
  • De-risk the unknown. I navigate multi-stakeholder environments and strict regulatory frameworks so you can innovate without breaking things. I've built where the brief was incomplete and the roadmap was a guess. I ship, learn, and iterate.
  • AI as infrastructure. I set the boundaries it generates within, then validate the output. I use AI to speed up prototyping and create interfaces users actually trust. I design for AI-powered experiences at scale, where consistency and reliability matter as much as innovation. I understand token hierarchies and component models, and I prototype in code so technical constraints inform the work without limiting it.

Available for: Principal Designer roles • Strategic Design consulting • Fractional Design Leadership

CORE COMPETENCIES

Strategic Design & Leadership

  • 0-to-1 Product Vision
  • Design Leadership
  • User Research & Validation
  • AI-Powered Research & Analysis
  • Stakeholder Alignment
  • Cross-Functional Collaboration

Design Excellence

  • End-to-End Product Design
  • Design Systems at Scale
  • Information Architecture
  • AI-Assisted Prototyping
  • Accessibility (WCAG AA)
  • Data Visualization
  • UX Audits for Complex SaaS

Domain Expertise

  • Multi-Stakeholder Platforms
  • Complex Systems Design
  • FinTech & Banking
  • B2B SaaS & Enterprise
  • Healthcare Technology
  • AI-Powered Products

Technical Collaboration

  • Design Operations
  • AI Workflows & Integration
  • Developer Partnerships
  • Design Tokens & Variables
  • Data-Driven Design
  • Agile/Lean Methodologies
  • Regulatory Compliance

How I Use AI in My Design Work

AI is powerful when used carefully. I'm deliberate about where it accelerates thinking and where it gets in the way. I experiment with new models constantly because the workflow evolves quickly, but the key is using AI to free up time for higher-value thinking, not replace judgment.

Research & Analysis

  • I upload interview transcripts, survey data, and behavioral analytics to Claude Projects where I can work with everything in one place
  • I create the outline and structure myself first, then have AI draft the full report which I review and refine. Without that framework, AI-generated insights end up much less valuable

Exploration & Validation

  • I use multiple AI models (Claude, Copilot, ChatGPT) strategically, matching each tool's strength to the task at hand
  • I connect Figma to Claude using MCP. This lets me turn prompts into flow charts and diagrams directly in FigJam, and have direct conversations with my design files to analyze user flows, audit structure, and brainstorm variations

Prototyping

  • I drop my design system tokens into Figma Make with screenshots and flow diagrams. It spits out layouts using my actual components, and I polish from there
  • The results are testable but clearly not done. Perfect for validation without confusion
  • For simpler projects, I skip Figma entirely and design in Claude Code. Working on bringing this approach to complex software

Design System & Code Sync

  • I maintain a tokens repo that serves as the source of truth. Using Figma MCP, I can select frames or nodes and have AI generate code that adheres to my design patterns, or extract variables, components, and layouts directly from layers to ensure builds stay consistent
  • The repo doubles as a playground where designers can experiment with Claude Code and Figma MCP before we integrate them into production

Accessibility Checks

  • I install Stark plugin in Figma to check contrast, touch targets, and focus order while designing
  • For complex screens or a second opinion, I screenshot designs for Claude to validate WCAG AA compliance and suggest fixes based on my tokens

Developer Handoff

  • I use Figma Dev Mode for built-in specs and experiment with Claude Code and Figma MCP to automate spec generation
  • Still exploring how to best integrate these into the production workflow

Current Stack:

  • Claude Code for orchestration and automation
  • Figma MCP for design file analysis and automation
  • Figma Make for rapid prototyping
  • Stark for accessibility
  • GitHub as the single source of truth

Let's Work Together

Interested in collaborating on your next project?