# Marina Fernández de la Rosa — Senior Product & AI Designer

> Senior Product & AI Designer based in Munich, Germany. 6+ years designing B2B SaaS and enterprise software across consultancies, studios and in-house teams. Today the solo designer on IntraFind's enterprise AI search platform (iFinder / iAssistant Workspace), owning it from research to spec and prototyping options in code with AI. Teaches the advanced UX/UI course at ReDi School Munich.

Point of view: AI is only useful when you can trust it, and you can trust it when you can trace it. She starts where the system is least sure: show what it is doing, name its confidence, give people a way to check it, and leave the decision with them.

## Contact
- Email: marina.fdlr.ux@hotmail.com
- LinkedIn: https://www.linkedin.com/in/marina-fernandez-de-la-rosa
- Location: Munich, Germany
- Languages: Spanish (native), English (C2), Italian (B1), German (A2)

## CV
- [CV (PDF)](/cv/Marina-Fernandez-de-la-Rosa-CV.pdf): full CV, A4, 2 pages
- [CV (web)](/cv)

## Case studies
- [Multilingual Detection & Filtering](/case-studies/multilingual-detection) (2025, shipped): shipped multilingual language filtering for an AI search product, then mapped why the model classified mixed-language documents inconsistently (four document types, ~200 documents read by hand), built three working options with AI and defined behaviour rules and confidence indicators with engineering.
- [Sources: trusted context](/case-studies/sources) (2026, in development): separated what the AI looked at from what it actually used — sources grouped into three roles, plus starting a conversation scoped to one source — so users can judge an answer at a glance.
- [Document Metadata Enrichment](/case-studies/metadata-enrichment) (2026, designer + PM): flat permissions let anyone create labels, so duplicates multiplied; split metadata into three governed layers (system fields, admin fields, user labels) and removed the permission behind the pollution.
- [Workspace Skills](/case-studies/workspace-skills) (2026, in development): reusable AI tasks (summarise, translate, compare, client-configured skills such as filling in questionnaires) that run asynchronously across many documents without blocking the conversation.

## Experience
- Senior UX & AI Designer, IntraFind — Apr 2025 to now, Munich. Solo designer on iFinder; AI product ecosystem (smart search, agents, skills, multilingual filtering, Sources panel, metadata governance); owns the design system; leading the move to WCAG 2.2 AA.
- Teacher, UX/UI Design, ReDi School — Mar 2026 to now, Munich.
- UX & AI Designer, WongDoody — Mar 2023 to Apr 2025, Munich & Stuttgart. Clients included Siemens, Bosch, DHL and Volvo.
- UX Designer, FLUID — May to Nov 2022, Munich. Work for B/S/H and Shark.
- Communication Designer, Aegon — Oct 2019 to Sep 2020, Madrid.

## Education
- MSc Communication Design, Politecnico di Milano
- Bachelor in Multidisciplinary Design and Brand Management, Universidad Rey Juan Carlos, Madrid
- Planning Generative AI Projects · Generative AI for Leaders (Amazon & Infosys)

## Focus areas
B2B SaaS product design · Explainable AI & edge cases · Design systems · Accessibility · Product strategy & roadmap · Prototyping & vibe coding