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Open to product design and consulting roles.

Senior product designer for complex SaaS and AI systems.

16+ years turning ambiguous problems into product direction teams can ship, across AI, SaaS, healthcare, and enterprise systems.

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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

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 enterprise healthcare product interfaceClinical 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 · 2025–2026Legal Proposal Workflow PlatformA legal SaaS workflow for proposal creation and comparison, focused on making the product easier to understand and review without overselling automation.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