Thomas Jalabert is a data scientist and R&D machine learning engineer with a decade of experience building time-series anomaly detection systems and production ML modules. He was a lead developer of Upalgo at Ezako and now applies his expertise to software log analysis with LLMs at SAP Labs France. Comfortable moving models from POC to product, he blends signal processing and practical engineering—having started with unsupervised anomaly proofs-of-concept and C++/Qt integrations during early internships. Based in Valbonne, he combines academic training from Polytech'Nice and Linköping University with hands-on product delivery in industrial and enterprise settings. Notably, his career shows a pattern of owning end-to-end detection pipelines rather than just research prototypes.
10 years of coding experience
5 years of employment as a software developer
Baccalaureat (French secondary school diploma), Mathematics, Baccalaureat (French secondary school diploma), Mathematics at ITEC Boisfleury
Engineer’s Degree, Computer Science, Engineer’s Degree, Computer Science at Polytech'Nice-Sophia
Bachelor's Degree, Computer Science, Bachelor's Degree, Computer Science at Université Pierre Mendès-France (Grenoble II)
Master's degree, Computer Science, Master's degree, Computer Science at Linköping University
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