Antoine Debouchage

Cifre PhD Student at Barclays Investment Bank

Paris, Ile-de-France
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Summary

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Antoine Debouchage is a PhD candidate in Applied Mathematics at Université Paris-Saclay and a Cifre researcher with 11 years of technical experience bridging machine learning, optimization, quantum computing and NLP. Trained at CentraleSupélec and ENS Paris-Saclay (MVA), he has shipped research-grade tooling and datasets for financial NLP, developed state-of-the-art fine-tuning pipelines (LoRA, 4-bit quantization), and authored novel pretraining methods for LLMs (AccLoRT) while interning at RIKEN. His background in tensor networks and quantum-inspired optimization informs efficient model compression and low-rank approaches used across his projects. Comfortable moving from theory to production, he has scraped and curated large-scale corpora, built internal NLP applications for institutions like Banque de France, and driven diversity-aware paraphrasing research at Reverso. Colleagues describe him as a mathematically rigorous engineer who repeatedly finds practical uses for advanced linear-algebraic insights in ML systems.
code11 years of coding experience
job1 year of employment as a software developer
bookMVA - Master 2 (M2) Mathématiques et informatique, MVA - Master 2 (M2) Mathématiques et informatique at ENS Paris-Saclay
bookMaster 2 (M2), Master 2 (M2) at CentraleSupélec
bookDoctor of Philosophy - PhD Applied Mathematics, Doctor of Philosophy - PhD Applied Mathematics at Université Paris-Saclay
bookBaccalauréat Sciences de l'ingénieur, Baccalauréat Sciences de l'ingénieur at Lycée Louis Armand - Nogent-sur-Marne
bookMPSI/MP* ー Classe Préparatoire aux Grandes Écoles, MPSI/MP* ー Classe Préparatoire aux Grandes Écoles at Lycée Condorcet
languagesFrench, English, Japanese, Spanish
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Github Skills (27)

rgb5
gradient5
palette5
3d4
python4
quantum-computing4
pde-solver3
plugin3
html3
javascript3
machine-learning3
nodejs3
reinforcement-learning2
pde2
pytorch2

Programming languages (4)

TypeScriptRustJupyter NotebookPython

Github contributions (5)

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Parabolic PDE resolution with Tensor Networks using Backward-Forward Stochastic Differential Equations
Contributions:33 PRs, 65 pushes, 11 branches in 3 months
pdetensornetworksparabolicparabolic-pde
antoine311200/Plasmid-GA

Jan 2021 - Jan 2022

Contributions:41 commits in 1 year
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