Jules Belveze
Software Engineer at Dust
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolJules Belveze is an MLOps and NLP engineer with eight years of experience building and deploying production-grade machine learning systems from Paris. He has moved between research and industry roles—leading ML at John Snow Labs, shipping NLP and time-series work at Hypefactors and Microsoft, and most recently contributing as a software engineer at Dust and member of Reg.exe—bridging model development with robust software practices. Trained in Human-centered AI (DTU) and engineering (Centrale Lyon), he combines rigorous applied mathematics with pragmatic engineering to optimize NLP models and end-to-end ML workflows. An avid open-source contributor and advocate for ethical AI, Jules focuses on scalable, reproducible pipelines and operationalizing models beyond experiments. He is available for consultancy and speaking, and brings a rare mix of research-caliber modeling experience and hands-on production deployment skills.
8 years of coding experience
5 years of employment as a software developer
Master's degree General Engineering, Master's degree General Engineering at Centrale LyonTechnical University of DenmarkBachelor's degree Applied mathematics, Bachelor's degree Applied mathematics at Université Paris Dauphine - PSL
English, German, French
Stackoverflow
425reputation
24kreached
14answers
10questions
Github Skills (200)
transformers10
language-model10
python10
annotations10
standardized10
datasets10
conceptnet10
pruning10
deep-learning10
speech10
gpu10
fairness-ml10
cython10
label-studio10
multivariate-timeseries10
Programming languages (13)
Github contributions (5)
JulesBelveze/time-series-dataset
Nov 2019 - Oct 2022
Contributions:16 commits, 4 PRs, 13 pushes in 2 years 11 months
pytorchdatasetmultivariate-time-serieswrenchmultivariate
JulesBelveze/pytorch-tutorial-computer-vision
Jun 2019 - Dec 2019
Contributions:35 commits, 29 pushes, 1 branch in 6 months
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