Thierry Bertin-mahieux - CTO & Co-Founder at Singuli

Thierry Bertin-mahieux

CTO & Co-Founder at Singuli

Canada

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Summary

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Senior

🎓

Top School

Thierry Bertin-mahieux is a CTO and co-founder with 16 years of experience building AI-driven product recommendation and customer segmentation systems for startups and tech leaders. He combines hands-on engineering from roles at Google and The Echo Nest with data science leadership at Oyster and Birchbox, shipping scalable ETLs, personalization engines, and production ML pipelines. Thierry holds a PhD in multimedia analysis and an Executive MBA from INSEAD, a blend that helps him translate research-grade ML into business-aligned products. He co-created the Million Song Dataset—one of the largest music research collections—demonstrating deep expertise in low-level data engineering and music information retrieval. Based in Canada, he now leads Singuli to apply applied machine learning to retail problems, bridging scientific rigor with product and operational execution.

16 years of coding experience

6 years of employment as a software developer

M.Sc. Computer Science, M.Sc. Computer Science at Université de Montréal

Global Executive MBA, Global Executive MBA at INSEAD

PhD Electrical and Electronics Engineering, PhD Electrical and Electronics Engineering at Columbia Engineering

Github Skills (6)

c-language10

cprogramming-language10

sqlite9

music-information-retrieval8

database-design7

hdf5

Programming languages (1)

Python

Github contributions (5)

tbertinmahieux/MSongsDB

Jul 2010 - Apr 2019

Code for the Million Song Dataset, the dataset contains metadata and audio analysis for a million tracks, a collaboration between The Echo Nest and LabROSA. See website for details.

Role in this project:

Back-end Developer

Contributions:659 commits, 3 PRs, 3 pushes in 8 years 10 months

Contributions summary:Thierry contributed to the core functionality of the project, which appears to be related to the Million Song Dataset. The commits involve the creation and modification of C++ code, specifically focusing on SQLite database interactions and feature extraction. The user demonstrates proficiency in working with low-level programming and handling data structures relevant to music information retrieval.

audio-analysis

tbertinmahieux/InfiniteListener

Mar 2010 - Aug 2010

Contributions:429 commits in 5 months

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