QL

Quentin Lhoest

Open Source & Machine Learning Engineer at Hugging Face

Quentin Lhoest is an experienced Open Source and Machine Learning Engineer at Hugging Face since April 2020, leading the datasets team, developing the Dataset Viewer, and collaborating with various research labs on dataset publications. Key achievements include the integration of data tools and maintenance of the Hugging Face Datasets library. Previous experience includes roles as a Machine Learning Engineer and Intern at Feedly and a Full Stack Software Engineer at Paris Digital Lab, where significant projects involved Named Entity Recognition and prototype development for The Boston Consulting Group. Quentin holds a Master’s degree in Mathematics, Vision, Learning from ENS Paris-Saclay and a Master of Engineering in Applied Mathematics and Computer Science from CentraleSupélec. Additional academic experience includes a Master’s semester in Data Science at EPFL.

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Hugging Face

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Hugging Face provides the cloud-native neural search solution powered by state-of-the-art AI technology.


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