Curriculum Vitae
PhD Researcher in Frugal AI | Continual & Federated Learning. Based in A Coruña, Spain.
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Mar 2025 – present
PhD Researcher (FPI)
LIDIA Group, University of A Coruña, A Coruña, Spain
Research on frugal AI methods (continual, federated, few-shot learning) for resource-constrained systems. Development of adaptive learning modules within the EU PILLAR-Robots project.
Mar 2026 – May 2026
Research Stay (Visiting Researcher)
INESC TEC, University of Porto, Porto, Portugal
Research stay with João Gama (University of Porto) and Pedro Henriques Abreu (University of Coimbra). Collaboration on deep learning and continual learning for resource-efficient settings.
Jan 2024 – Feb 2025
Research Support Technician (MSc Internship)
LIDIA Group, University of A Coruña, A Coruña, Spain
Developed class-incremental learning models for dynamic environments within the PILLAR-Robots project. Work evolved into current PhD research on Frugal AI.
Oct 2022 – Jun 2023
AI Software Developer
Cinfo Company, A Coruña, Spain
Designed and optimized deep learning models (YOLO, SSD) for automated sports production. Integrated C++ real-time inference with Python-based training pipelines.
Education
Mar 2025 – present
PhD in Computer Science
University of A Coruña (UDC)
Funded PhD (FPI predoctoral contract, Spanish Ministry of Science) on Frugal and Sustainable AI (continual, federated, few-shot learning).
Sep 2023 – Feb 2025
MSc in Artificial Intelligence
University of A Coruña (MIA-UDC)
Thesis: Efficient Single-Step Framework for Incremental Class Learning
Sep 2019 – Jun 2023
BSc in Computer Science
University of A Coruña
Thesis: Object detection for sports images
Publications
All publications →Teaching
Undergraduate and Master’s courses at UDC and UIMP, plus supervised thesis work.
Teaching →Awards
Skills
ProgrammingPython, SQL, C++, Shell
Machine LearningPyTorch, TensorFlow, Scikit-Learn, OpenCV, HuggingFace
Tools / InfrastructureDocker, Git, MLFlow, DVC, CI/CD, AWS (EC2, S3)
ResearchContinual Learning, Federated Learning, Frugal AI, Edge AI, Computer Vision