Profile
Applied AI and machine learning professional with a background in Electronic and Automation Engineering and hands-on experience delivering AI systems in industrial environments. Currently leading a small team working across computer vision, LLM and RAG solutions, data platforms, and integration with PLC, SCADA and HMI systems.
Strong track record of turning ambiguous R&D and operational needs into production-ready solutions by working across data, software, automation and plant stakeholders. PhD candidate in Data Science and Artificial Intelligence, with publications in predictive modeling and heterogeneous data integration.
Focus Areas
Industrial AI, Computer Vision, RAG / GenAI, Automation Integration, Technical Leadership
Current Role
Lead Data Scientist at Servaiter Team S.L. (Grupo Térvalis)
Research
PhD candidate focused on AI-based traffic prediction and heterogeneous data sources.
Professional Experience
Lead Data Scientist - Servaiter Team S.L. (Grupo Térvalis)
Apr 2025 - Present
- Continued in the same industrial AI team after its transition from Entrerríos Automatización to Servaiter Team (Grupo Térvalis), taking formal leadership of delivery 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.
Data Scientist - Entrerríos Automatización S.A.
Jul 2022 - Apr 2025
- Contributed to the work that was later continued and expanded within Servaiter Team / Grupo Térvalis.
Education
PhD in Data Science and Artificial Intelligence - UNIR
Sep 2024 - Present
Research topic: AI-based traffic prediction.
Master's in Visual Analytics and Big Data - University of Zaragoza
Oct 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.
News
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.
Open 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 author of the Vaquilla poster signs the work and receives the 1,000-euro prize
Coverage of the award and public signing connected to the winning Vaquilla poster.
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
Machine Learning & AI
PyTorch, TensorFlow, Scikit-learn, OpenCV, LLM APIs, semantic embeddings, LangChain, RAG systems
Data Engineering & Analytics
Pandas, NumPy, ETL/ELT pipelines, dashboarding and reporting, HTML-based visualizations
Cloud & Infrastructure
AWS (RDS, QuickSight), Docker, Linux, Hyper-V, Azure fundamentals
Databases
MariaDB, SQL Server, MySQL, MongoDB
Industrial Systems
PLC/SCADA/HMI integration, Machine Expert, Control Expert, Vijeo Designer, System Platform
Development Tools
Git, GitHub, Visual Studio Code, GitHub Copilot, Codex
Additional Information
Languages: Spanish (Native), English (B2 - Cambridge First Certificate)
Certifications: Python Programming Course, UNIR (2023) | Microsoft Azure Fundamentals AZ-900 (2022)