About

AI engineer heading software development and digitalization at an international group, and PhD candidate in Data Science and Artificial Intelligence at the University of Zaragoza. I design and build AI solutions end to end, from the idea and architecture to production and maintenance. Innovation and new challenges are what drive me: they keep me up to date with the latest advances, always learning and open to new technologies and new ways of doing things, turning ideas into real results.

Experience

Lead AI Engineer

Apr 2025 – now

Servaiter Team S.L. (Grupo Térvalis)

  • Lead digitalization, AI and innovation for Grupo Térvalis and some external companies, together with a small development team. I also take an active part in the decisions of the Automation and IT departments, coordinating and overseeing their work.
  • Own projects end to end: definition, architecture, development, deployment and support.

Industrial AI Engineer

Jul 2022 – Apr 2025

Entrerríos Automatización S.A.

  • Built ML and computer vision systems for inspection, counting, traceability and prediction.
  • Also built the databases, ETL pipelines and plant dashboards connected to PLC and SCADA.

Projects

Unified industrial data and AI platform

One platform for plant managers, maintenance and operators across the group: real-time data and dashboards for production, energy, downtime and OEE; network and equipment monitoring; computer vision on industrial cameras for particle size, colour, thermal anomalies and people and vehicle tracking; and SerChat, an agentic RAG assistant over manuals and PLC code.

Next.jsOPC UAMQTTAVEVA HistorianZabbixYOLOAgentic RAG

Voice and GenAI tools for the sales force

Android app that records customer visits and uploads them encrypted for speaker-separated transcription and LLM summaries, plus a Telegram assistant over the sales database that briefs reps in text or voice and plans weekly routes.

AndroidFastAPIDockerSpeech-to-textLLMs

Skills

AI & ML

PythonPyTorchscikit-learnpandasOpenCVYOLOPaddleOCR

GenAI

LLM APIsLocal modelsAgentic RAGMCPEmbeddingsWeaviateSpeech-to-textTTS

Engineering

FastAPISQLDockerLinuxGit

Industrial

PLC / SCADAOPC UAModbusMQTTAVEVA Historian

Coding with AI

CodexClaude CodeCursorGitHub Copilot

Languages

Spanish · nativeEnglish · B2

Education

PhD in Data Science and AI

2024 – now

University of Zaragoza · part-time

  • Traffic prediction with machine learning and heterogeneous data, and personalized parking guidance with offline reinforcement learning.

Master's in Visual Analytics and Big Data

2022 – 2024

UNIR

  • Plus two University Specialist degrees, 300 hours each: Big Data and Artificial Intelligence (10/10) and Industry 4.0.

Bachelor's in Electronic and Automation Engineering

2018 – 2022

University of Zaragoza · Erasmus in Finland

Publications

2025 Advanced prediction of traffic at different temporal scales using heterogeneous data sourcesIEEE Open Journal of Intelligent Transportation Systems 2024 Enriched traffic datasets for the city of Madrid: integrating traffic sensors, road infrastructure, calendar data and weather dataData in Brief

Press & recognition