Dorian Desblancs
Senior Research Engineer at Meta
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolDorian Desblancs is a Senior Research Engineer based in Paris with seven years of experience at the intersection of AI/ML, signal processing, and software engineering. He has advanced speech and music AI from research to production across teams at Deezer and Meta (Voice AI / FAIR), including work on self-supervised learning and novel audio features. Dorian contributes to notable open-source projects—having improved testing and backend compatibility for Deezer’s widely used Spleeter source-separation library—bringing rigor to engineering and test automation. Fluent in both French and English and trained in computer science (McGill) and applied mathematics (ENS Paris-Saclay), he blends theoretical depth with pragmatic engineering. Colleagues describe him simply as a "hacker"—a hint at his hands-on, systems-level approach to building robust ML-driven audio systems.
7 years of coding experience
4 years of employment as a software developer
Master's, Applied Mathematics, Master's, Applied Mathematics at École normale supérieure Paris-SaclayBachelor of Science, Computer Science, Bachelor of Science, Computer Science at McGill University
English, French, Spanish, Chinese
Github Skills (8)
audio-processing10
tensorflow10
pytest10
python10
testing10
refactoring9
modello8
deep-learning7
Programming languages (5)
Github contributions (5)
deezer/spleeter
Jan 2022 - Nov 2022
Deezer source separation library including pretrained models.
Role in this project:
Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:8 commits, 8 PRs, 2 pushes in 10 months
Contributions summary:Dorian primarily focused on refactoring and adapting the existing testing framework to accommodate changes in the project's backend. They removed a specific backend (Librosa), indicating efforts to streamline dependencies. Furthermore, they modified function return types and other files to align with the backend changes, ensuring tests remain relevant. The user also addressed code formatting inconsistencies, contributing to code quality through black and isort.
pytorchaudio-processingdrumspythonsource-separation
deezer/zeroNoteSamba
Feb 2022 - May 2022
Code for reproducing experiments and figures of the Zero Note Samba paper.
Contributions:62 commits, 2 PRs, 52 pushes in 3 months
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