Summary
Christophe Thibault is a Data Scientist and AI Engineer with 8 years of experience combining a PhD-level research background in materials/physics and engineering education with hands-on MLOps and production AI. Based in Montpellier, he has delivered industrial-grade predictive maintenance and ML pipelines at Veolia and Schlumberger, and now builds generative-AI recruiting products and LLM-backed APIs at Flint. He designs end-to-end solutions—Airflow/Docker pipelines, BigQuery/dbt transformations, FastAPI services, RAG/LangChain agents—and operationalizes models on AWS and Dataiku for long-running production workloads. His toolkit spans Python, LightGBM, Hugging Face, LangChain, FastAPI, S3 and Bedrock, reflecting both research rigor and pragmatic engineering. Notably, he moved from membrane science research to deploying reinforcement learning, GANs and ConvNet solutions in logistics and industrial contexts, demonstrating rare cross-domain fluency. Curious and innovation-driven, he thrives on turning complex data science prototypes into maintainable, scalable systems.
8 years of coding experience
10 years of employment as a software developer
Researcher, materials, Researcher, materials at R&D Center for Membrane Technology
University of Montpellier
Ph.D, materials/physics, Ph.D, materials/physics at Institut Europeen des Membranes
Mastère spécialisée, Big data, machine learning, Mastère spécialisée, Big data, machine learning at Telecom ParisTech
Diplôme d'ingénieur, Materials Science, Diplôme d'ingénieur, Materials Science at Ecole Nationale Supérieure de Chimie de Montpellier
got his Phd, 2004, got his Phd, 2004 at the University of Montpellier
English, French, Swedish, German