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.
8 years of coding experience
1 year of employment as a software developer
State engineer Computer Science, State engineer Computer Science at EPITA: Ecole d'Ingénieurs en Informatique
Master's degree Ingénierie informatique, Master's degree Ingénierie informatique at Oxford Brookes University
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Nathan Habib - Machine Learning Engineer at Hugging Face