Nathan Habib

Machine Learning Engineer at Hugging Face

Paris, Ile-de-France
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Summary

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Nathan Habib is a Machine Learning Engineer at Hugging Face with eight years of experience focused on LLM evaluation, benchmarking, and open-source tooling. Based in Paris, he blends research-driven rigor—stemming from internships and research in medical imaging and quantum ML—with hands-on product work, having co-founded a startup and contributed to developer ecosystems at Hugging Face. He has practical experience building end-to-end ML pipelines, from data quality and acquisition to optimized algorithmic implementations for real-world healthcare problems. Comfortable at the intersection of research and engineering, Nathan also scouts and supports early-stage founders, reflecting a strong interest in the broader AI and startup landscape.
code9 years of coding experience
job1 year of employment as a software developer
bookState engineer Computer Science, State engineer Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
bookMaster's degree Ingénierie informatique, Master's degree Ingénierie informatique at Oxford Brookes University
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Stackoverflow

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Github Skills (31)

hub10
language-model10
evaluation10
huggingface10
ai10
transformer10
evaluation-framework10
langchain9
api-client9
pytorch9
python9
llm9
large-language-models9
llamacpp9
machine-learning9

Programming languages (6)

TypeScriptScalaHandlebarsHTMLJupyter NotebookPython

Github contributions (5)

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A framework for few-shot evaluation of language models.
Contributions:22 reviews, 18 PRs, 104 pushes in 4 months
language-model
NathanHB/NathanHB

Aug 2022 - Aug 2024

Contributions:6 pushes, 1 branch in 2 years
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