Thomas Dopierre
AI Research Engineer at Bloomberg LP
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolThomas Dopierre is an AI research engineer and third-year PhD candidate at the Hubert Curien Laboratory, based in London, with eight years of experience building NLP systems for noisy, user-generated short texts. He brings production-facing research experience from Bloomberg and a five-year tenure at Meetic where he led intent detection, entity recognition and few-shot learning for a high-traffic dating chatbot. Trained at ENS/Paris Dauphine in mathematics, statistics and machine learning, he combines rigorous quantitative background with practical engineering—shipping language models and NLP pipelines in real-world conversational products. Passionate about math, programming and problem solving, he is comfortable bridging theory and applied ML to improve human-agent understanding in constrained-data settings.
8 years of coding experience
6 years of employment as a software developer
MASH - MVA, Mathematics, Computer Science, Machine Learning, MASH - MVA, Mathematics, Computer Science, Machine Learning at Ecole Normale Supérieure - Université Paris Dauphine - ENSAEM.S in Mathematics - Actuarial Sciences, Applied Mathematics, With honors, M.S in Mathematics - Actuarial Sciences, Applied Mathematics, With honors at Université Paris Dauphine
French, English
Github Skills (63)
acl9
computational-linguistics9
phonetics9
information-theory8
few-shot-learning8
natural-language-processing8
photo8
nodejs8
meta8
sentence8
sveltekit7
javascript7
classifier7
meta-learning7
backup7
Programming languages (4)
Github contributions (5)
tdopierre/FewShotText
Jun 2020 - Mar 2021
Library of various Few-Shot Learning frameworks for text classification
Contributions:6 commits, 4 PRs, 43 pushes in 9 months
pytorchnlppythondeep-learningshot-learning
tdopierre/FewShotPseudoLabeling
May 2019 - Feb 2021
Contributions:46 commits, 12 pushes, 1 branch in 1 year 8 months
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