Continuous particle-size and colour measurement
Designed and built a complete machine from initial concept to factory deployment, combining computer vision, software, data processing and automation for continuous measurement.
Profile
Applied AI and innovation professional with a background in Electronic and Automation Engineering and hands-on experience delivering AI, data and digitalization systems in industrial environments. Currently leading a small cross-functional team working across LLM and RAG solutions, machine learning, computer vision, data platforms and industrial automation.
I turn ambiguous R&D and operational needs into production-ready AI solutions, connecting technical strategy with hands-on delivery across data, software, automation and plant stakeholders. I am also a part-time PhD candidate at the University of Zaragoza, with publications in predictive modeling and heterogeneous data integration.
Focus Areas
Applied AI, AI Solutions, RAG / LLM, ML Systems, Industrial Automation, Technical Leadership
Current Role
Industrial AI & R&D Lead at Servaiter Team S.L. (Grupo Térvalis)
Research
Part-time PhD candidate at the University of Zaragoza, focused on AI-based traffic prediction and heterogeneous data sources.
Selected Work
Industrial knowledge assistants
Built and deployed assistants that retrieve manuals and source code to explain program logic, support fault diagnosis and guide system connections.
Real-time AI for granulation control
Designed and deployed an AI system from scratch to make real-time granulation decisions during continuous operation. Owned architecture, ML, software and industrial control integration.
Professional Experience
Industrial AI & R&D Lead - Servaiter Team S.L. (Grupo Térvalis)
Apr 2025 - Present
- Own the technical roadmap and end-to-end delivery of AI and innovation initiatives across fertilizer, aggregates and meat-processing environments.
- Lead a small cross-functional team spanning data, software, and automation, owning solution design from problem framing to deployment in real operational settings.
- Architect and deploy RAG assistants for technical manuals and operational knowledge, improving access to technical information for operations and maintenance teams.
- Build computer vision systems for quality inspection, counting, traceability, and novel R&D use cases.
- Integrate AI applications with PLC, SCADA, HMI, and industrial communication environments to embed ML capabilities into real operational workflows.
- Design data and ML infrastructure across SQL/NoSQL stores, ETL/ELT pipelines, containerized services, and dashboarding and reporting tools.
Industrial AI Engineer - Entrerríos Automatización S.A.
Jul 2022 - Apr 2025
- Developed and deployed industrial AI, data and digitalization solutions with plant teams, from discovery through production rollout.
- Built machine learning and computer vision workflows for inspection, counting, traceability and predictive use cases using Python, OpenCV, PyTorch and TensorFlow.
- Designed SQL/NoSQL stores, ETL/ELT pipelines, dashboards and Dockerized services integrated with PLC, SCADA and HMI environments.
Education
PhD in Data Science and Artificial Intelligence - University of Zaragoza
Sep 2024 - Present
Research topic: AI-based traffic prediction.
Master's in Visual Analytics and Big Data - UNIR
Aug 2022 - Jun 2024
Additional university specialization in Artificial Intelligence and Industry 4.0.
Bachelor's Degree in Electronic and Automation Engineering - University of Zaragoza
Sep 2018 - Jun 2022
Erasmus exchange at SAMK, Finland. Best academic record of the 2018-2022 class. Best Bachelor's Thesis.
Recognition & Media
Link
Best academic record in Electronic and Automation Engineering
Recognition linked to the best academic record at the Polytechnic School of Teruel.
Read article
Link
Best Bachelor's Thesis award granted by the College of Industrial Engineers of Aragón (COGITIAR)
Recognition for the Bachelor's Thesis project on AI-based fall-risk estimation for older adults.
Read source
Link
Engineering student designs a new system to estimate fall risk in older adults
Coverage of the final degree project focused on fall-risk estimation through sensors and machine learning.
Read article
Link
The poster 'The heartbeat of Teruel' announced the 2019 Vaquilla festivities
Article about the winning poster that announced the 2019 Vaquilla festivities in Teruel.
Read articlePublications
Advanced prediction of traffic at different temporal scales using heterogeneous data sources
IEEE Open Journal of Intelligent Transportation Systems · 2025
Technical Skills
Applied AI & ML
Python, PyTorch, TensorFlow, Scikit-learn, OpenCV, Pandas, NumPy
GenAI & AI-native Engineering
LLM APIs, RAG, LangChain, semantic retrieval, Cursor, Claude Code, Codex, GitHub Copilot
Data Engineering & Analytics
SQL/NoSQL, ETL/ELT pipelines, APIs, dashboarding, reporting, HTML-based visualizations
Cloud & Infrastructure
AWS (RDS, QuickSight), Docker, Linux, Hyper-V, Azure fundamentals
Industrial Systems
PLC/SCADA/HMI integration, Machine Expert, Control Expert, Vijeo Designer, System Platform
Databases
MariaDB, SQL Server, MySQL, MongoDB
Additional Information
Languages: Spanish (Native), English (B2 - Cambridge First Certificate)
Certifications: Python Programming Course, UNIR (2023) | Microsoft Azure Fundamentals AZ-900 (2022)