Félix Voituret
Site Reliability Engineer at VINCI Airports
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolFélix Voituret is a Site Reliability Engineer with 11 years of experience building and operating data-driven, production-grade systems across music tech, classifieds, and airports. He has progressed from research and R&D roles into senior engineering and lead positions at Deezer—where he bridged audio research and production for recommendation and search—and has recent MLOps and SRE experience at leboncoin and VINCI Airports. Comfortable across Kubernetes, Kafka, Hadoop ecosystems and machine-learning pipelines, Félix combines software engineering rigor with operations-first thinking to deliver reliable, scalable services. His background in academic research and decision-support tools informs a pragmatic approach to complex system design and data mining problems. An active contributor to open-source projects like Deezer’s popular Spleeter, he brings practical tutorials and integration work that help teams adopt ML tools in production. Based in Paris, he blends cross-disciplinary technical depth with a track record of shipping impactful, production-ready solutions.
11 years of coding experience
13 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of BirminghamMaster's degree Computer Software Engineering, Master's degree Computer Software Engineering at Avignon Université
French, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (8)
jupyter-notebook10
tensorflow10
python10
deeplearning-ai9
audio-processing9
deep-learning9
pre-trained-model8
modello8
Programming languages (10)
Github contributions (5)
deezer/spleeter
Nov 2019 - Sep 2021
Deezer source separation library including pretrained models.
Role in this project:
ML Engineer
ML EngineerContributions:2 releases, 5 reviews, 135 commits in 1 year 10 months
Contributions summary:Félix primarily contributed to the project by adding and modifying the `spleeter.ipynb` notebook, which seems to provide a tutorial or example usage for the Deezer source separation library. Their work includes installing dependencies like `ffmpeg` and `spleeter`, and demonstrating the separation process from the command line. These actions suggest an effort to provide usage examples and documentation.
pytorchaudio-processingdrumspythonsource-separation
Faylixe/googlecodejam-client
Dec 2015 - Apr 2017
Contributions:3 releases, 68 commits, 2 PRs in 1 year 4 months
api-clientapigoogle-code-jamcode-jamjam
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