Théo Matussière
Chief Technology Officer at Ecair
Paris, Ile-de-France
Summary
🤩
Rockstar🎓
Top SchoolThéo Matussière is a CTO and entrepreneur with 10 years of experience building product-focused engineering teams and shipping end-to-end systems across startups in Paris. He combines deep ML and research roots— internships at Facebook AI and Université de Montréal—with hands-on product engineering at Nabla and Hugging Face, translating NLP research into practical healthcare and platform features. As a founder he launched consumer-facing apps (TalkieWalkie) and developer tools (Swype), and as Lead Engineer he modernized Django and React codebases, moving JS flows to TypeScript and rtk-query. Now leading technology at Ecair, he blends strategic technical leadership with a propensity for rapid prototyping and user-tested iterations; quietly, his background in math from École Polytechnique and ENS Paris-Saclay informs a rigorous, data-driven approach to product decisions.
10 years of coding experience
5 years of employment as a software developer
Master of Science (MSc) Computer Science Statistics and Applied Mathematics, Master of Science (MSc) Computer Science Statistics and Applied Mathematics at École PolytechniqueLicence Mathématiques, Licence Mathématiques at Pierre and Marie Curie UniversityMaster's degree Mathematique Vision & Apprentissage, Master's degree Mathematique Vision & Apprentissage at École Normale Supérieure Paris-Saclay
French, English, Spanish, Russian
Github Skills (190)
transformers10
raven10
javascript-client10
language-model10
sentry10
postgresql10
python10
data-manipulation10
deno-deploy10
classifier10
flax10
datasets10
deep-learning10
speech10
wordnet10
Programming languages (14)
Github contributions (5)
theo-m/theo-m.github.io
Jun 2017 - Aug 2023
Contributions:338 pushes, 8 branches, 12 issues in 6 years 3 months
NBAiLab/datasets
Mar 2021 - Mar 2021
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
Contributions:25 commits in 8 days
pytorchnlpmanipulationml-modelsdata-preprocessing
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