Mathias Tiberghien is an edge and embedded development engineer based in Paris with nine years of industrial software experience and a background that uniquely blends a decade as an international performing artist with advanced technical leadership. He led R&D and project teams building industrial supervision tools, data representation models and bespoke integrations for clients like Schneider Electric, Sanofi and Thales, and is an expert in Wonderware ecosystems and C#. After completing a Master in Big Data he pivoted into machine‑learning driven projects—automated PID tuning with reinforcement learning and radiographic pneumonia detection—demonstrating a practical bridge between research and production. Comfortable from low-level embedded work to data‑centric systems and deployments, he also founded a software publishing initiative (code192) to productize supervision tooling. This mix of creative discipline, field experience and recent ML/data training makes him adept at inventing pragmatic solutions for complex industrial problems.
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