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Open to product design and consulting roles.

Fractional product design leadership for complex SaaS and AI products.

I embed with product and engineering teams to turn ambiguous problems into clear direction, usable systems, and product work they can ship.

Explore ways to work togetherView selected work
Experience16+ years designing digital productsDomainsAI, SaaS, Healthcare, Enterprise, Legal TechWays of workingRemote, embedded with product and engineering teams
Worked with
  • IQVIA
  • Hewlett Packard Enterprise
  • Predict.Law
  • City of Mendiolaza
  • CREA
  • Abelardo Cuffia
  • Quagliardi Pro Audio
  • Acámica
  • Escuela de Innovación

Ways to work together

Senior product support, shaped around the team.

I work directly with founders, product leaders, designers, and engineers. The engagement can be ongoing, focused on one product challenge, or structured around a senior role.

See how we can work togetherDiscuss a product need

Selected work

Across strategy, systems, and complex interfaces.

Each case focuses on the product context, what needed clarification, and the practical value of the work.

IQVIA Strategy Workbench, the enterprise protocol design platformClinical ResearchAssociate Design Director · 2021–2024Enterprise Clinical Research PlatformsLed UX direction and design teams across enterprise clinical research platforms, focused on shared interaction patterns, design system foundations, and accessibility-first practice.View caseBE.ME AI dashboard overviewAILead Product Designer · Approximately 8 weeksMental Health Hybrid appAn early-stage AI product shaped from a human-performance methodology into a complete MVP experience with onboarding, dashboard structure, daily workflows, and Aura as an integrated product guide.View casePredict.Law proposal workflow interfaceLegal TechLead Product Designer · 2025–2026AI Legal Platform for Litigation WorkflowsAn AI-powered legal platform for plaintiff attorneys, rebuilt into a coherent, scalable product system across design systems, core litigation workflows, and mobile-first acquisition experiences.View case

Every project above ran through some version of this loop.

AI-native workflow

Planning, prototyping, building, and checking.

AI is useful when it shortens the path from raw material to testable product structure. It does not replace taste, judgment, or responsibility.

What this means for product teams

  • Engineers spend less time translating specs, deliverables are implementation-aware from the start.
  • Design and development cycles compress without adding ambiguity, AI handles the mechanical parts, judgment handles the rest.
  • I can move across design, prototyping, and code review in the same session, which reduces round-trips and handoff friction.

  1. Research

    Gather source material, market context, user pressure, and constraints.

    AI assist

  2. Figma - Figma Make

    Shape flows, interface models, component logic, and visual direction.

    human judgment

  3. Claude - Codex - Antigravity - Lovable

    Generate, scaffold, and iterate on code across AI-native tools and platforms.

    AI assist

  4. Astro - WordPress - Custom Apps

    Ship fast static product-led websites and case-study systems.

    AI assist

  5. GitHub

    Keep decisions, code, and deployment flow versioned and reviewable.

    Technical assist

  6. QA - Audits - Code and Security Review

    Check accessibility, performance, responsive behavior, and content clarity.

    AI assist

  7. Iteration

    Use review cycles to reduce friction instead of adding decoration.

    human judgment