Samuel Rochette is a Senior Data Engineer with nine years of experience building production-ready ML platforms and data applications across industries from energy to services. He combines a strong theoretical background (double degree in engineering and applied mathematics) with hands-on expertise in Python, Azure, Databricks, Kubernetes, and PyTorch to deploy scalable computer vision and NLP models. Samuel has led teams and coached developers to adopt MLOps best practices, driving adoption of an AI platform at Sodexo and designing high-stakes prediction systems for Schlumberger. He is also an experienced instructor and speaker on uncertainty quantification and model calibration, and he routinely bridges clean-code discipline with operational delivery. Notably, he prototypes edge and IoT solutions (Raspberry Pi projects) alongside enterprise-grade platforms, showing a flair for both constrained-hardware innovation and cloud-scale engineering.
9 years of coding experience
6 years of employment as a software developer
Double degree Engineer of Mines and Master in Applied Mathematics Mathematics and Computer Science, Double degree Engineer of Mines and Master in Applied Mathematics Mathematics and Computer Science at École des Mines de Saint-Étienne
Preparatory class - Math / Physics - MP* Mathématique, Preparatory class - Math / Physics - MP* Mathématique at Prytanée National Militaire - La Flèche
Master of Engineering - MEng ERASMUS exchange semester, Master of Engineering - MEng ERASMUS exchange semester at Technische Universität Berlin
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