Thomas Epelbaum

Principal Financial Quantification

Greater Paris Metropolitan Region France
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Summary

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Rockstar
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Top School
Thomas Epelbaum is a Head of Python Developments and ML with 10 years of experience building production-grade ML systems and backend platforms, currently leading Python and ML efforts at Schneider Electric Sustainability via EcoAct France. He manages and mentors a team of senior engineers (including PhDs), operating and securing an ecosystem of 30+ applications and 50 services while shipping bespoke FastAPI/SQLModel applications and CI-driven Docker stacks. Thomas has a strong research pedigree (PhD-level physics), production ML research background from Shift Technology, and a history of creating open-source tooling—most notably the ecodev-doc project to accelerate SMEs’ development. He combines deep technical craftsmanship (high test coverage, ML pipelines, MLOps) with product-driven delivery and a knack for turning research ideas into operational services.
code10 years of coding experience
job8 years of employment as a software developer
bookMaster, 2nd year : Fundamental concepts of physics Theoretical and Mathematical Physics, Master, 2nd year : Fundamental concepts of physics Theoretical and Mathematical Physics at Ecole normale supérieure
bookEngineer, Master's degree Modeling, Virtual Environments and Simulation, Engineer, Master's degree Modeling, Virtual Environments and Simulation at ENSTA ParisTech - École Nationale Supérieure de Techniques Avancées
bookTheoretical and Mathematical Physics, Theoretical and Mathematical Physics at University of Toronto
bookEcole polytechnique
languagesFrench, English
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Github Skills (5)

feedforward10
neural-network8
testing3
python2
test-framework1

Programming languages (2)

TeXPython

Github contributions (5)

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tomepel/Technical_Book_DL

Sep 2017 - Oct 2019

This note presents in a technical though hopefully pedagogical way the three most common forms of neural network architectures: Feedforward, Convolutional and Recurrent.
Contributions:25 commits, 6 PRs, 34 pushes in 2 years 1 month
feedforwardneural-network
tomepel/Stat_inference

Dec 2015 - Dec 2015

Contributions:6 pushes, 1 branch in 2 days
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