Titouan Robert is a seasoned Machine Learning and AI trainer with 11 years of hands-on experience helping organizations operationalize data science from prototype to production. He has built and deployed models across energy, finance and media—implementing forecasting, recommendation systems, RAG/LLM integrations and pipelines that handle millions of rows daily. Equally at ease teaching Python, TensorFlow/Keras and R-Shiny to professionals as he is architecting production-grade AI agents and document ingestion workflows, he combines pedagogy with pragmatic engineering. Notably, his background spans both model development and data engineering—optimizing compute, packaging reusable tools and embedding ML into business processes—so his trainings are informed by real production constraints. Based in Issy-les-Moulineaux, France, he often translates complex ML topics into practical, repeatable solutions for diverse teams.
11 years of coding experience
8 years of employment as a software developer
DUT, Statistiques, DUT, Statistiques at IUT de Vannes
Contributions:3 PRs, 146 pushes, 1 branch in 4 months
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