Etienne Bennequin
Tech Lead Data - IA
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolEtienne Bennequin is a Tech Lead in Data & IA based in Paris with seven years of experience bridging academic research and industrial ML product delivery. Trained at École Polytechnique and CentraleSupélec with a PhD-focused trajectory, he specialised in computer vision and few-shot learning while contributing practical PyTorch implementations to open-source projects like sicara/easy-few-shot-learning. He has progressed from R&D and doctoral research at Sicara to product-focused roles at Datadog and now leads data science strategy at SNCF, combining hands-on modeling with team coaching and technical advising. Etienne is deliberately expanding into data engineering and software development to turn research-grade models into production-grade features, and his background running large student events hints at strong operational and people-management instincts.
7 years of coding experience
1 year of employment as a software developer
Doctorat, Artificial Intelligence, Doctorat, Artificial Intelligence at CentraleSupélecMaster 2 (M2) MVA, Mathématiques, Vision, Apprentissage, Master 2 (M2) MVA, Mathématiques, Vision, Apprentissage at École Normale Supérieure Paris-SaclayMaths Sup / Maths Spé, Maths Sup / Maths Spé at Louis le Grand (Classe préparatoire)Informatique et mathématiques appliquées, Informatique et mathématiques appliquées at Ecole polytechniqueBaccalauréat scientifique, Scientifique, Baccalauréat scientifique, Scientifique at Lycée Louis le Grand
French, English, German
Stackoverflow
1reputation
0reached
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Github Skills (6)
pytorch10
machine-learning10
deep-learning10
python10
few-shot-learning10
computer-vision9
Programming languages (2)
Github contributions (5)
sicara/easy-few-shot-learning
Feb 2021 - Oct 2022
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Role in this project:
Data Scientist
Data ScientistContributions:11 releases, 20 reviews, 133 commits in 1 year 8 months
Contributions summary:Etienne's contributions center around adding and modifying code, specifically notebooks and source files (src), related to few-shot learning for image classification. Their work includes implementing Prototypical Networks using PyTorch, indicating a focus on machine learning model development and experimentation within the context of this specific project. The user appears to have experience with PyTorch and related libraries such as torchvision, and also dataset loading.
pythonmeta-learningimage-classificationtensorflowfew-shot
ebennequin/meta-domain-shift
Dec 2020 - Aug 2021
Experiments on meta-learning algorithms to solve few-shot domain adaptation
Contributions:149 commits, 2 PRs, 4 pushes in 7 months
pytorchmeta-learning-algorithmssolvemeta-learningdeep-learning
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