Thomas Jalabert is a data scientist currently employed at SAP since September 2023, focusing on software logs with large language models. Thomas has a diverse background in machine learning, having served as an R&D engineer at Ezako, where Thomas was responsible for the machine learning module of an anomaly detection software. Previous experience includes internships at Air Liquide France, EZAKO, CSTB, and LGGE, as well as supervising activities for children at MJC and performing maintenance work at the Mairie d'Eybens. Thomas holds an Engineer's Degree in Computer Science from Polytech'Nice-Sophia and has completed a Master's degree at Linköping University, in addition to Bachelor's degrees from Université Pierre Mendès-France and ITEC Boisfleury.
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