Summary
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.
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 Padova
Piano performance, Piano performance at Conservatorio B. Marcello - Venice
English, French, Italian