Sylvain Lapeyrade is an AI instructor, data scientist, and PhD-holder in Game AI with eight years of experience bridging research, industry, and education across Paris and Europe. He designs and teaches practical curricula in ML, MLOps, LLMs and reinforcement learning while mentoring hundreds of students and achieving high project validation rates. Practically minded, he has built production RAG chatbots, fraud-detection models and CI/CD ETL pipelines using tooling from LangChain and Hugging Face to TeamCity and Elasticsearch. His background in game AI and large-scale network analysis gives him an uncommon blend of temporal modeling and interactive-agent insight that informs his teaching and consulting. Active on GitHub, he pairs research rigor with hands-on engineering to help organizations and learners deploy robust, cloud-native AI solutions.
8 years of coding experience
2 years of employment as a software developer
Erasmus Semester, Computer Science, Erasmus Semester, Computer Science at Linköpings universitet
Doctor of Philosophy - PhD, Artificial Intelligence - Computer Science, Doctor of Philosophy - PhD, Artificial Intelligence - Computer Science at Clermont Auvergne University
Master of Science, Network, Computer Science and Telecommunication, Master of Science, Network, Computer Science and Telecommunication at Upssitech - Toulouse University
Personal academic website made with the Hugo framework and the Wowchemy theme.
Contributions:1 PR, 16 pushes, 1 branch in 1 year 4 months
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Sylvain Lapeyrade - AI & PM Instructor at Wild Code School