I build practical software at the intersection of AI engineering, data systems and business automation. My main interest is turning frontier and local AI models into reliable products that reduce manual work, improve decision-making and integrate cleanly with real operational workflows.
My target path is AI Engineer / Applied AI Engineer, with a particular focus on LLM applications, intelligent process automation and privacy-aware local AI.
- Frontier and local LLM systems: model integration, structured outputs, tool use and privacy-aware inference.
- AI workflow automation: connecting models, business rules, APIs and data sources into maintainable processes.
- Applied AI products: taking an idea from data modelling and backend architecture to a usable interface.
- Reliable engineering: typed systems, automated testing, access control, offline resilience and traceability.
| Project | Engineering highlights | Real-world context |
|---|---|---|
| TerrAI / AgrAId | Next.js, TypeScript, Supabase, LLM workflows, geospatial data, AEMET and automated PDF generation | Finalist at the De-TECH Innovation Tech Challenge 2026 — Agriculture & Food Edition, presented in Hannover |
| Tamamoli | ESP32, NFC, offline event queue, PostgreSQL/Supabase, Realtime, RLS and multi-role web platform | Educational attendance system used with 300+ registered students in a school in Madrid |
| Aurora TPV | React, TypeScript, Electron, Supabase, transactional retail domain and ESC/POS hardware integration | Custom point-of-sale platform designed around the workflows of two physical businesses in Madrid |
Languages: Python · TypeScript · JavaScript · SQL · C++
Application & data: Next.js · React · Node.js · PostgreSQL · Supabase · Electron · REST APIs
AI engineering interests: LLM application architecture · AI agents and tool use · RAG · evaluations · local inference · workflow orchestration
Edge & physical systems: ESP32 · NFC/RFID · offline-first synchronization · ESC/POS
I am especially interested in building AI systems that can be measured, monitored and trusted in production—not isolated demos. I want to work on the layer between models and the business: orchestration, context, tools, evaluation, data pipelines and human-in-the-loop workflows.
- BSc in Data Science and Artificial Intelligence — Universidad Politécnica de Madrid (UPM)
- English: Cambridge C1 Advanced level
- Spanish: native
Building AI that moves from impressive outputs to useful, repeatable workflows.