Maxime Gendre
Head Of Engineering at DeepLife
France
Summary
🤩
Rockstar🎓
Top SchoolMaxime Gendre is a Head of Engineering and seasoned ML/DevOps practitioner with six years of hands-on experience building production-ready AI systems across computer vision, NLP and MLOps. He has led teams and platforms at startups and enterprises—delivering document OCR pipelines, chatbot NER systems, and a European defence MLOps platform—while driving architecture, CI/CD and scalable deployments with Kubernetes, Docker and AWS SageMaker. A strong Python engineer comfortable across frontend and backend stacks, he also contributes to notable open-source explainability tooling like Shapash, where he improved the web integration and visualization features. Maxime blends pragmatic engineering with research-influenced experimentation (GAN-based colorization, segmentation and patent work), and is equally at home optimizing low-latency APIs or shaping ML product strategy.
6 years of coding experience
9 years of employment as a software developer
Master 1 (M1), Ingénierie informatique, Master 1 (M1), Ingénierie informatique at ENI Ecole InformatiqueBTS Services Informatiques aux Organisations, Ingénierie informatique, BTS Services Informatiques aux Organisations, Ingénierie informatique at Lycée Saint-JosephMachine Learning Engineer nanodegree, Datascience, Machine Learning Engineer nanodegree, Datascience at UdacityBaccalauréat Professionnel, Commerce, Baccalauréat Professionnel, Commerce at Lycée Sainte-Marthe Chavagnes
English, French
Stackoverflow
13reputation
669reached
0answers
2questions
Github Skills (22)
interpretation10
shap10
web-application10
python10
machine-learning10
explainable-artificial-intelligence10
dashjs10
webapp10
web-development10
flask-ask9
flask9
versioning8
bump2version8
bumpversion8
bump8
Programming languages (3)
Github contributions (5)
MAIF/shapash
May 2020 - Feb 2021
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Role in this project:
ML Engineer
ML EngineerContributions:7 releases, 10 reviews, 55 commits in 8 months
Contributions summary:Maxime's commits primarily focus on enhancing the Shapash web application. They integrated the Dash application into a Flask server, enabling web-based access. Further contributions include adding features and improving the plots, as well as upgrading the version of the library. They also bumped the version and made improvements to the pep8 style.
explainable-mlmachine-learning-modelsimlpythontransparent
MaxGdr/Capstone-Project-Machine-Learning-Engineer-Nanodegree
Jan 2021 - Feb 2021
Contributions:17 commits, 16 pushes, 1 branch in 25 days
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