Adrien Bufort
Fondateur
Toulouse, Occitania, France
Summary
👤
Senior🎓
Top SchoolAdrien Bufort is a machine learning engineer and founder based in Toulouse with a decade of experience applying ML and data science to real-world operational problems. He built forecasting and optimization systems across telecom (Orange), aviation (Air France), and energy/meteo domains, cutting computation time for coverage maps by 3–10x and automating antenna power scaling to reduce costs. At meteolibre.dev he now focuses on improving weather forecasting and climate-risk management, building on prior work delivering PV irradiance forecasts and meteorological data pipelines. His background blends research (reinforcement/meta-learning work at Queen’s and LIRMM) with large-scale production skills in Spark/Hadoop, cloud data flows and deep learning, and he has helped prototype digital twins and internal NLP models in a major operator. Notably, he moves smoothly between proof-of-concept research and deployable systems, making sophisticated models operational in enterprise settings.
10 years of coding experience
8 years of employment as a software developer
Mathématiques et Physiques, Mathématiques et Physiques at Lycée Hoche (Classes préparatoires)Baccalauréat Spécialité mathématique, Baccalauréat Spécialité mathématique at Lycée HocheMaster 2 (M2) Numerical simulation & Computer Science and Telecommunication, Master 2 (M2) Numerical simulation & Computer Science and Telecommunication at ISAE-SUPAERO
English, German, Spanish
Stackoverflow
511reputation
72kreached
8answers
3questions
Github Skills (168)
transformers10
language-model10
python10
deep-learning10
gpu10
gpu-acceleration10
acceleration10
artifacts10
numpy10
neural-network10
transformer10
nlp10
tensor10
jax10
tensorflow10
Programming languages (6)
Github contributions (5)
Forbu/graphgenerator
Sep 2023 - Mar 2025
Contributions:1 release, 56 pushes, 1 tag in 1 year 5 months
Forbu/fourier_neural_operator_obsolete
Oct 2021 - Feb 2022
Use Fourier transform to learn operators in differential equations.
Contributions:3 releases, 30 commits, 2 PRs in 3 months
equationstransformbackpropagationdynamical-systemsneural-networks
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