Nicola Montecchio

Music Information Retrieval Scientist

Berlin, Germany
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Summary

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Nicola 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.
code15 years of coding experience
job3 years of employment as a software developer
bookPh.D., Information Engineering - Computer Science, Ph.D., Information Engineering - Computer Science at Università degli Studi di Padova
bookPiano performance, Piano performance at Conservatorio B. Marcello - Venice
languagesEnglish, French, Italian
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Stackoverflow

Stats
103reputation
22kreached
1answer
2questions
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Github Skills (70)

speech10
location10
speech-to-text10
statistics9
shell9
speaker-verification9
kaldi9
cuda9
audio8
fingerprint8
locality-sensitive-hashing8
python8
neighbors8
kd-tree8
approximate8

Programming languages (9)

JavaC++ShellRustCJavaScriptHTMLPython

Github contributions (5)

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Contributions:101 pushes, 5 branches in 5 years 7 months
spotify/echoprint-server

Jan 2016 - Nov 2016

Contributions:5 commits, 3 PRs, 3 pushes in 10 months
fingerprintaudio
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Nicola Montecchio - Music Information Retrieval Scientist