Louise Naud
Scientist at Docugami
New York, New York, United States
Summary
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Senior🎓
Top SchoolLouise Naud is an ML/CV research scientist based in New York with 11 years of experience building computer vision systems for robotics, surveillance, retail and document intelligence. Trained at École Normale Supérieure and Caltech, she blends rigorous mathematical foundations with hands-on engineering in C/C++, Python and PyTorch to ship real-time, production-ready vision components. Her work spans deep learning, classical mathematical morphology and efficient SSE2-optimized pipelines for low-latency deployment, reflecting a rare comfort across research prototypes and industrial constraints. She has led cross-disciplinary projects at startups and industry (Thales, Placemeter, Viam, Docugami) and authored technical tutorials on Optimal Transport and Riemannian VAEs, signaling a commitment to clear scientific communication. Notably, she applied joint DNN and Max-Margin Markov methods early in her career for stereo imaging and has practical experience with sensor calibration and 3D segmentation for robotics.
11 years of coding experience
10 years of employment as a software developer
Maths, Physics, Maths, Physics at Lycée CondorcetEngineering Degree, Image Processing, Engineering Degree, Image Processing at Telecom BretagneNetworks, Project Management, Networks, Project Management at Universidad Politécnica de MadridMaster's Degree, Mathematics and Machine Learning, With Honors., Master's Degree, Mathematics and Machine Learning, With Honors. at Ecole Normale Supérieure de CachanLycee Schweitzer
English, French, Spanish
Stackoverflow
1reputation
0reached
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Github Skills (3)
development-kit10
robotics10
minecraft10
Programming languages (2)
Github contributions (5)
louisenaud/stock_prediction
Feb 2018 - Mar 2018
Contributions:13 commits, 1 push in 1 month
louisenaud/m3n_fast_pd
Dec 2017 - Jan 2018
Contributions:18 commits, 9 pushes, 1 branch in 13 days
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