Maxime Labonne is a Senior Staff Machine Learning Scientist at Liquid AI, where he leads the post-training division focused on refining large language models (LLMs) for production use. He holds a PhD in Machine Learning from the Polytechnic Institute of Paris and is recognised as a Google Developer Expert in AI/ML.
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Labonne has made significant contributions to the open-source community, developing tools such as LLM AutoEval and LazyMergekit, and releasing advanced models like NeuralBeagle and Phixtral. He is the author of the best-selling books LLM Engineer’s Handbook and Hands-On Graph Neural Networks Using Python.
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His work bridges research and application, emphasising scalable architectures, inference optimisation, and responsible AI deployment. Labonne is also known for his educational initiatives, including the widely followed LLM Course on GitHub, which guides practitioners through the complexities of LLM engineering.

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• Senior Staff Machine Learning Scientist - Liquid AI
• Lead Machine Learning Scientist - JP Morgan Chase & Co
• Machine Learning Scientist - Airbus