Álvaro Berodia is a Staff Scientist and ML/AI engineer based in Madrid with 11 years of experience blending software engineering, music technology and applied research. He holds a PhD in Computer Science and a background in telecommunications and sound & music computing, which he has applied to music understanding and recommendation systems at SiriusXM/Pandora. Previously he led data and AI efforts at Galp Solar, built voice and music tech at Voctro Labs, and contributed academically as a researcher and teacher—bringing both product- and research-grade rigor to production ML. Known for marrying creative music-domain intuition with scalable engineering, he often bridges prototype interaction concepts (e.g., conductor metaphor) into deployable features. Colleagues value his ability to move projects from research through operationalization across diverse sectors from energy to streaming.
11 years of coding experience
14 years of employment as a software developer
Business/Managerial Economics, Business/Managerial Economics at Universidad Autónoma de Madrid
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universitat Pompeu Fabra
Bachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Universidad Politécnica de Madrid
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