Matthieu Bizien
Independent AI Consultant at DOCEBIS
France
Summary
👤
Senior🎓
Top SchoolMatthieu Bizien is an independent AI consultant and founder with 16 years of experience building frontier ML systems—from early deep learning and style transfer work to co-founding Yokai, a generative image startup years before the mainstream wave. He combines hands-on R&D (GANs, virtual try-on, RL environments) with a strategic eye for where AI is headed, now focusing on self-modifying, agentic systems that can learn and maintain coherence over long horizons. Matthieu has shipped production pipelines for computer vision and generative content, designed RL verification environments used by frontier labs, and knows the operational trade-offs of moving research into product. Colleagues praise his clarity on hard problems and unusually sharp technical instincts; a recurring theme in his career is pairing deep technical vision with pragmatic implementation. Based in France and educated at École Polytechnique and ENSAE, he’s open to collaborations on agentic architectures, alignment, and frontier AI challenges.
16 years of coding experience
9 years of employment as a software developer
Diplome d'ingénieur, Data science, Diplome d'ingénieur, Data science at ENSAE ParisEngineering degree, Quantitative Economics., Engineering degree, Quantitative Economics. at École Polytechnique
French, English, Spanish
Stackoverflow
1,727reputation
280kreached
28answers
7questions
python
top-5%
Github Skills (21)
selenium10
python10
selenium-ide10
automation10
backup10
automations10
back-end-development9
git9
github8
file-management8
filesystem8
cron7
csv6
random-forest6
bioinformatics6
Programming languages (9)
Github contributions (5)
MatthieuBizien/roam-to-git
Mar 2020 - Jan 2023
Automatic RoamResearch backup to Git
Role in this project:
Back-end & Automation Engineer
Back-end & Automation EngineerContributions:2 releases, 47 commits, 30 PRs in 2 years 10 months
Contributions summary:Matthieu primarily focused on automating the RoamResearch backup process to Git. Their work included enhancing the file-naming conventions to support directory structures, managing dependencies using `requirements.txt`, and refactoring existing code. They also implemented file sanitization to handle special characters and ensured the code adhered to style guidelines. Furthermore, they improved the sign-in process's robustness.
exportroamroamresearchcronzettelkasten
MatthieuBizien/scikit-learn
Jul 2014 - Jun 2016
Contributions:21 commits, 2 PRs, 2 pushes in 1 year 11 months
pythondata-sciencelearn-machine-learningmachine-learningscikit-learn
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