Frédéric Debraine
Senior Machine Learning Engineer at Cerrion
Zurich, Zurich, Switzerland
Summary
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Senior🎓
Top SchoolFrédéric Debraine is a Senior Machine Learning Engineer based in Zurich with 11 years of experience building production-grade ML systems, specializing in computer vision, time series and robotics. He designs end-to-end pipelines—from DataOps and MLOps to real-time monitoring and automated retraining—currently enabling automated defect detection on industrial production lines. His work at Roche combined 3D medical imaging, clinico-genomics and large-scale real-world datasets to improve disease progression and patient outcome modeling, and he has coached and led data-science teams. Trained at EPFL and ETH Zürich (MSc Robotics Systems & Control) and certified in ML DevOps and AI for Healthcare, he blends strong research roots with pragmatic deployment skills. Notably, he closes the loop on ML in production with self-adaptive thresholds and quantified robustness gains, translating models into measurable operational impact.
10 years of coding experience
5 years of employment as a software developer
Machine Learning DevOps Engineer Nanodegree, Machine Learning DevOps Engineer Nanodegree at UdacityMaths - Physique - Ingénierie, Maths - Physique - Ingénierie at Enseignement Supérieur - Lycée Blaise PascalBaccalauréat Scientifique Spécilité Mathématiques, Baccalauréat Scientifique Spécilité Mathématiques at Enseignement Secondaire - Lycée Blaise PascalBachelor Microengineering, Bachelor Microengineering at EPFLMaster of Science - MS Robotics Systems & Control, Master of Science - MS Robotics Systems & Control at ETH Zürich
French, English, German
Github Skills (28)
brain-computer-interface10
artificial-intelligence9
python9
classification9
neuroscience9
ai8
openai8
machine-learning7
deep-learning7
vega-lite7
tabular6
pytorch6
streamlit5
explore5
exploratory-data-analysis5
Programming languages (2)
Github contributions (5)
fdebrain/Brain-Computer-Interface-Cybathlon2020
Oct 2019 - Apr 2022
Master thesis subject: Leveraging Deep Learning for Real-time EEG Classification at Cybathlon's BCI-race
Contributions:198 commits, 32 PRs, 104 pushes in 2 years 7 months
brain-patternneurosciencecybathlonthesisclassification
fdebrain/Stereo-Event-Based-Reconstruction-with-Active-Laser-Features
Sep 2018 - Sep 2021
Contributions:8 commits, 2 pushes in 2 years 11 months
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