Nicola Montecchio
Music Information Retrieval Scientist
Berlin, Germany
Summary
👤
Senior🎓
Top SchoolNicola Montecchio is a Music Information Retrieval Scientist based in Berlin with 15 years of experience applying machine learning to music and audio at The Echo Nest and Spotify. He combines a Ph.D. and M.S. in Computer Science with a conservatory degree in piano performance, enabling a rare blend of rigorous technical expertise and deep musical insight. Proficient in C/C++, Python, and Java, he focuses on translating audio signal understanding into scalable ML systems for content analysis and recommendation. His background includes academic research and tool development for historical musicology, reflecting both applied industry work and scholarship. Colleagues rely on him to bridge scientific research and product-grade engineering in the music tech space.
15 years of coding experience
3 years of employment as a software developer
Ph.D., Information Engineering - Computer Science, Ph.D., Information Engineering - Computer Science at Università degli Studi di PadovaPiano performance, Piano performance at Conservatorio B. Marcello - Venice
English, French, Italian
Stackoverflow
103reputation
22kreached
1answer
2questions
Github Skills (51)
speech-to-text10
speech10
speaker-verification9
asr9
kaldi9
shell9
cuda9
speech-recognition8
locality-sensitive-hashing8
python8
audio8
statistics8
algorithms8
nearest-neighbors8
data-science7
Programming languages (9)
Github contributions (5)
spotify/echoprint-server
Jan 2016 - Nov 2016
Server for the Echoprint audio fingerprint system
Contributions:5 commits, 3 PRs, 3 pushes in 10 months
audio
nicolamontecchio/pd_harpsichord
Jan 2015 - Aug 2020
Contributions:101 pushes, 5 branches in 5 years 7 months
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