Summary
Sergio Oramas is a Senior Staff ML Scientist with 12 years of experience focused on NLP, recommender systems, music information retrieval and deep learning, currently shaping conversational search and recommendation at Pandora. He leads large-scale LLM fine-tuning, agentic architectures, and multimodal embeddings that fuse text, audio and user signals, while driving ML and data engineering best practices across GCP, AWS and Databricks. A published researcher (h-index 17) with papers in ISMIR, ICASSP, RecSys and ACL, he couples academic rigor from a PhD in Information Technologies with product-minded implementations that improve long-tail artist discovery and personalization. His background in musicology and computer engineering gives him a rare interdisciplinary edge for building music-aware ML systems, and he actively sponsors community initiatives like NLP4MuSA.
12 years of coding experience
21 years of employment as a software developer
Computer Science (5th year and Thesis) Ingeniería informática, Computer Science (5th year and Thesis) Ingeniería informática at INSA Lyon - Institut National des Sciences Appliquées de Lyon
Bachelor's degree Musicology and Ethnomusicology, Bachelor's degree Musicology and Ethnomusicology at Universidad de La Rioja
Master's degree Information Technology in Culture and Heritage, Master's degree Information Technology in Culture and Heritage at Universidad de Alcalá
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Universidad Politécnica de Madrid
Doctor of Philosophy (PhD) Information Technologies, Doctor of Philosophy (PhD) Information Technologies at Universitat Pompeu Fabra
Spanish, English, French, Portuguese, Italian