Fabien Brulport
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolFabien Brulport is a Senior Machine Learning Engineer based in Paris with eight years of experience applying data-driven methods to healthcare and industrial problems at Owkin. Trained in mechanical engineering at EPFL and decision and data sciences at ISAE‑SUPAERO, he blends rigorous mathematical modeling with practical ML deployment, including embedded neural networks for edge inference. At Owkin he progressed from Machine Learning Engineer to senior roles, shipping production models and bridging research and product teams. His early work spans anomaly detection for HVAC systems and analytical aerospace modeling, reflecting a knack for bringing physics-informed insights into ML solutions.
8 years of coding experience
5 years of employment as a software developer
Master 1 Mechanical Engineering (Aero-Hydrodynamics), Master 1 Mechanical Engineering (Aero-Hydrodynamics) at EPFLEngineer's degree Aerospace and Aeronautical Engineering (Decision and Data Sciences program), Engineer's degree Aerospace and Aeronautical Engineering (Decision and Data Sciences program) at ISAE-SUPAERO
Github Skills (28)
variable-length10
uncertainty8
parsing8
algorithm7
validation7
medical-image-analysis7
lstm7
data-augmentation7
monte-carlo-tree-search7
multiprocessing7
alacritty6
python6
parallel6
json-schema6
reinforcement-learning6
Programming languages (3)
Github contributions (5)
fabien-brulport/dotfiles
May 2020 - Mar 2026
Configuration files for Wezterm, Tmux, Neovim and Starship
Contributions:39 PRs, 83 pushes, 44 branches in 5 years 11 months
alacrittyneovimtmux
fabien-brulport/RNN-Sound-classification
Jun 2018 - Aug 2022
RNN implementation with Tensorflow (LSTM) to classify variable length sound sequences
Contributions:22 commits, 11 pushes, 1 branch in 4 years 2 months
lstmtensorflowvariable-length
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