Robin Vaysse
Data Scientist
Toulouse, Occitania, France
Summary
👤
Senior🎓
Top SchoolRobin Vaysse is a data scientist and PhD-trained audio processing researcher based in Toulouse with eight years of experience applying ML to real-world problems, from e-commerce R&D at Mirakl to clinical speech-intelligibility tools. He blends academic depth in pathological speech rhythm modeling with hands-on engineering—shipping mobile prototypes for emotion detection and integrating ML models into iOS apps. At Mirakl he focuses on improving platform experiences via language models and LLMs, while his open-source contributions include implementing online recommender components (online SVD, AMSGrad) for the widely used River library. Comfortable moving between research and production, he has tackled real-time transcription, noise reduction and 3D point-cloud segmentation during previous industry and research roles. Less obvious: he pairs statistical rigor from a Master in SID with practical deployment experience, making him effective at turning speech and audio research into scalable products.
8 years of coding experience
1 year of employment as a software developer
Master SID (Statistique et Informatique Décisionnelle), Mathematics and Computer Science, Master SID (Statistique et Informatique Décisionnelle), Mathematics and Computer Science at Université Paul Sabatier Toulouse IIILicence Mapi3 (Mathématiques appliquées à l'ingénierie, l'industrie et l'innovation), Applied Mathematics, Licence Mapi3 (Mathématiques appliquées à l'ingénierie, l'industrie et l'innovation), Applied Mathematics at Université Paul Sabatier (Toulouse III)
Stackoverflow
3reputation
54reached
0answers
1question
Github Skills (14)
machine-learning10
optimizer10
optimizers10
svd10
python10
recommender-system10
drift8
numpy8
data-science8
data-structure7
data-structures7
algorithm7
algorithms7
keras6
Programming languages (3)
Github contributions (5)
online-ml/river
Feb 2019 - Oct 2020
🌊 Online machine learning in Python
Role in this project:
ML Engineer
ML EngineerContributions:34 commits, 12 PRs, 31 comments in 1 year 8 months
Contributions summary:Robin implemented and updated machine learning models within the `river` online machine learning library. Their contributions focused on recommender systems, specifically an online SVD implementation. The user also worked on initializers and AMSGrad optimizer and added tests to the normal predictor in the `reco` module. Furthermore, the user made multiple changes in the code base by updating and fixing minor bugs.
stream-processingpythonstreaming-datadata-scienceonline-statistics
VaysseRobin/creme
Jul 2019 - Oct 2020
:loop: Online machine learning in Python
Contributions:27 pushes in 1 year 3 months
pythondata-sciencemachine-learningloopscikit-learn
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.