Álvaro Berodia
Staff Scientist at SiriusXM
Madrid, Community of Madrid, Spain
Summary
👤
Senior🎓
Top SchoolÁlvaro 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.
12 years of coding experience
14 years of employment as a software developer
Business/Managerial Economics, Business/Managerial Economics at Universidad Autónoma de MadridDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Universitat Pompeu FabraBachelor's degree Telecommunications Engineering, Bachelor's degree Telecommunications Engineering at Universidad Politécnica de Madrid
Spanish, English, Catalan
Github Skills (30)
motion-capture9
camera8
bar-code8
face-detection6
react-native6
aws5
huggingface5
python5
puredata4
displays4
openframeworks4
pytorch4
machine-learning4
sagemaker4
tensorflow4
Programming languages (4)
Github contributions (5)
asarasua/MoDe
Jul 2014 - Mar 2017
MoDe :: Motion Descriptors extractor for real-time applications
Contributions:54 commits, 2 PRs, 38 pushes in 2 years 9 months
motionfeature-extractormotion-capture
VoctroLabs/vtt-utils
Apr 2018 - Jan 2019
Contributions:24 pushes, 3 issues in 9 months
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