Thomas Simonini is a Developer Advocate at Hugging Face with a decade of experience building and teaching reinforcement learning (RL) systems, product integrations, and community-facing documentation. He led the integration of seven RL libraries into the Hugging Face Hub, helping surface over 15,000 RL models, and authored the popular Deep Reinforcement Learning course with 12,000+ signups that blends theory, code, and real-world environments. Equally comfortable shipping notebooks that train Lunar Lander agents and crafting polished front-end experiences, he bridges ML engineering, developer UX, and technical storytelling. A serial founder and educator, he’s grown open-source projects (3,100 stars on his DRL course) and presented at international venues on curiosity-driven RL, reflecting a rare mix of product instincts and deep technical depth.
10 years of coding experience
4 years of employment as a software developer
Deep Learning Foundations Nanodegree, Deep Learning, Deep Learning Foundations Nanodegree, Deep Learning at Udacity
Baccalaureat, History and Economy, Mention Bien, Baccalaureat, History and Economy, Mention Bien at Gabriel Faure's High School
Summer School, Quantum Machine Learning, Certificate of Excellence (100%), Summer School, Quantum Machine Learning, Certificate of Excellence (100%) at IBM
Intermediate level - Japanese, Japanese, Intermediate level - Japanese, Japanese at Espace Lyon Japon
Degree of Entrepreneurship, Entrepreneurship, Obtenu, Degree of Entrepreneurship, Entrepreneurship, Obtenu at University of Lyon
First Year, Bachelor Degree, Geography and urban studies, First Year, Bachelor Degree, Geography and urban studies at Jean Moulin University (Lyon III)
Stage intensif japonais niveau intermédiaire, Langue et littérature japonaises, Stage intensif japonais niveau intermédiaire, Langue et littérature japonaises at Espace Langue Tokyo
Bachelor Degree Law and Political Sciences, Law - Political Sciences, Bachelor Degree Law and Political Sciences, Law - Political Sciences at Jean Moulin University Lyon III
This repo contains the Hugging Face Deep Reinforcement Learning Course.
Role in this project:
ML Engineer
Contributions:200 reviews, 518 commits, 262 PRs in 9 months
Contributions summary:Thomas uploaded a Jupyter Notebook that demonstrates the training of a Deep Reinforcement Learning agent, specifically focusing on the Lunar Lander environment. The notebook showcases the agent's ability to successfully land on the moon and experiment with different configurations. The primary contribution is centered around the development and application of Reinforcement Learning principles, involving the utilization of the Stable-Baselines3 library.
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Role in this project:
Front-end Developer
Contributions:165 commits, 2 PRs, 155 pushes in 4 years 9 months
Contributions summary:Thomas primarily focused on uploading and integrating website elements, specifically working with CSS to include animations and creating forms for email list subscriptions. The commits demonstrate an understanding of website structure and the incorporation of external resources such as a font library. The contributions indicate a focus on enhancing the website's design and functionality, adding to its visual appeal and user engagement.
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