Matthieu Lagacherie is a Senior Manager in Data & AI based in Paris with 13 years of experience blending data science, MLOps, and data architecture for production-grade analytics. He began his career building high-frequency and systematic trading systems—leading R&D and front-office engineering—and has deep hands-on expertise in C++, optimization, simulation and quantitative research. At OCTO Technology he now translates advanced ML research into scalable engineering and platform solutions, drawing on prior Hadoop R&D and developer training experience across Pig, Hive and Hortonworks. Comfortable from kernel-level performance tuning to orchestration of modern MLOps pipelines, he brings a rare combination of low-latency trading discipline and large-scale data engineering practice. Matthieu’s background in cognitive sciences and AI informs a pragmatic approach to modeling and feature engineering that favors robustness in production. Colleagues describe him as a technical leader who mentors teams while still contributing code and architecture decisions.
12 years of coding experience
8 years of employment as a software developer
MSc Science, Cognitive Sciences and Artificial Intelligence, MSc Science, Cognitive Sciences and Artificial Intelligence at EPITA: Ingénierie Informatique
Master of Technology - MTech, I2A - Research Master - Computer Sciences, Master of Technology - MTech, I2A - Research Master - Computer Sciences at UBFC - Université Bourgogne-Franche-Comté
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