Thomas W.
About Thomas W.
Thomas W. is a Research Engineer at Mistral AI in Ville de Paris, Île-de-France, France, where he has worked since 2023. He has a background in machine learning, having held positions at Nabla and Hugging Face, and has completed his education at École Normale Supérieure Paris-Saclay and École Polytechnique.
Work at Mistral AI
Thomas W. has been employed as a Research Engineer at Mistral AI since 2023. His role involves contributing to research initiatives within the organization, which is based in Ville de Paris, Île-de-France, France. Mistral AI focuses on advancing artificial intelligence technologies, and Thomas plays a key part in this mission.
Previous Experience in Machine Learning
Before joining Mistral AI, Thomas W. worked as a Machine Learning Engineer at Hugging Face from 2021 to 2023. His responsibilities included developing machine learning models and contributing to projects that enhance natural language processing capabilities. Prior to that, he spent two years at Nabla as a Machine Learning Engineer from 2019 to 2021, where he also began his career as a Machine Learning Intern for six months in 2019.
Early Career and Internships
Thomas W. gained early experience in software development as a Full-stack Developer Intern at Lendi in Sydney, Australia, in 2017. He also worked at Inria as an Ingénieur R&D for six months in 2021, focusing on research and development in computing. These roles provided him with a solid foundation in both software engineering and machine learning.
Education and Expertise
Thomas W. studied at École Polytechnique, where he earned a Master's degree in Machine Learning from 2015 to 2019. He furthered his education at École Normale Supérieure Paris-Saclay, achieving a Master of Research in Machine Learning (MVA) from 2018 to 2019. His educational background equips him with advanced knowledge and skills in machine learning and artificial intelligence.
Academic Background
Thomas W. completed his preparatory studies at Lycée Sainte-Geneviève, where he achieved MPSI/MP* from 2013 to 2015. This rigorous academic program laid the groundwork for his future studies in engineering and machine learning, contributing to his analytical and problem-solving abilities.