Summary
Florian Bastin is a freelance ML & LLM engineer and Generative AI lecturer based in Paris with eight years of experience building production-grade AI systems and teaching applied Generative AI. He combines deep expertise in data engineering, NLP and DL with end-to-end delivery skills—from Terraform infrastructure and Azure/OpenAI stacks to React frontends and LLM monitoring—having shipped RAG pipelines, agentic systems and internal LLM tooling for clients like Le Monde, Chanel and SUEZ. Equally at home in consulting and academia, he teaches a full-semester Generative AI course at Dauphine-PSL and brokered a GCP partnership to provide students free cloud resources. He has a proven track record of rapid prototyping (25 POCs with five promoted to production), won a GCP-hosted RAG hackathon, and presented at Apache Beam Summit on Dataflow/OLTP trade-offs. Trained at ENS/Dauphine with an exchange at the Indian Statistical Institute, he is notable for merging rigorous mathematical foundations with pragmatic, governed LLM deployment in complex enterprise environments.
8 years of coding experience
6 years of employment as a software developer
Master 2 (M2), Mathématiques appliquées, Master 2 (M2), Mathématiques appliquées at ENS Paris-Saclay
Mathematics, Scientific, Mathematics, Scientific at Institut Notre-Dame
Master's degree, Applied Mathematics, Master's degree, Applied Mathematics at Université Paris Dauphine - PSL
Master's degree, Statistics, Master's degree, Statistics at Indian Statistical Institute, Kolkata
English, Spanish, French