Professional Summary
R&D Engineer with research and production experience in music information retrieval, neural audio embeddings, similarity search, and applied machine learning.
Experience
Current role at BMAT in music identification and AI systems, with previous experience as Developer and Data Scientist.
Education (Educación)
Degree in Data Science and Artificial Intelligence from University of Deusto; Extraordinary Degree Award for the best academic record in the cohort.
Publications
Co-author of the ICASSP paper AI-Generated Music Detection in Broadcast Monitoring, introducing the AI-OpenBMAT public dataset.
Projects
Reasoning LLM training, language-model fine-tuning, and Linux homelab service deployment.
Skills and Technologies
Python, PyTorch, TensorFlow, Transformers, FAISS, Docker, Linux, and modern AI tooling.
Idiomas
Español nativo, inglés C2 y euskera.