Romuald Menuet
Python SWE & Data Scientist
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolRomuald Menuet is a Paris-based Python software engineer and data scientist with eight years of applied ML and research experience, currently building confidential projects at Unseenlabs. He has led data science teams and productionized ML services—churn models, transaction categorization microservices, and MLOps stacks on GCP—while also contributing to federated learning and clinical-data projects. His background spans neuroscience decoding research at Inria to enterprise-grade telecom and systems engineering at Orange, giving him a rare blend of academic rigor and operational discipline. Comfortable across the stack—Python, PyTorch, XGBoost, FAISS, BigQuery, Kubeflow—he’s as fluent in reproducible research and HPC workflows as in deploying scalable microservices. Known for bootstrapping practices and tooling, he often focuses on reproducibility, privacy-preserving ML, and turning complex regulatory or clinical constraints into production-ready solutions.
8 years of coding experience
15 years of employment as a software developer
MP*, Physics, Mathematics, MP*, Physics, Mathematics at Classes préparatoires lycée StanislasEngineer, Computer Sciences, Artificial Intelligence, Engineer, Computer Sciences, Artificial Intelligence at CentraleSupélecMastère spécialisé, Technical Architecture & IT, Mastère spécialisé, Technical Architecture & IT at MINES ParisTechMastère spécialisé, Statistics & machine learning, Mastère spécialisé, Statistics & machine learning at Ensae ParisTech
French, English
Github Skills (17)
data-analysis10
python10
data-science10
scikit10
statistics10
machine-learning10
decoding10
scikit-learn10
brain-imaging9
neuroimaging9
neural-network6
distributed-computing4
django4
open-source2
algorithms2
Programming languages (3)
Github contributions (5)
rmenuet/fmri_decoding
Oct 2019 - Jan 2023
Code (WIP) for the article (WIP, to be submitted) "Comprehensive brain reading: tapping into Web repositories of fMRI"
Contributions:1 push, 1 branch, 2 issues in 3 years 3 months
brainrepositorieswipfmricomprehensive
zanospi/nilearn
Jul 2018 - Feb 2019
Machine learning for NeuroImaging in Python
Contributions:2 PRs, 5 pushes, 1 branch in 7 months
neural-networkneuroimagingpythonmachine-learning
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