Summary
Arthur Thouvenin is a Paris-based data scientist with 8 years of experience building and industrializing NLP, GenAI and computer vision solutions for large enterprises and public institutions. He has designed and deployed RAG/LLM systems, on-prem LLM hosting, OCR pipelines and MLOps patterns across sectors including aerospace, defense, aviation and utilities, with hands-on work in CI/CD, Kubernetes, Docker and cloud platforms (Azure/Snowflake). Arthur combines research-rooted skills from EMBL-EBI and bioinformatics with practical production deliveries at Aquila Data Enabler, often leading migration decisions and reusable component design for chatbots and information extraction. Fluent in Python and tooling like LangChain, Milvus and OpenAI APIs, he is as comfortable benchmarking OCR models as he is optimizing retrieval and agent graphs for million-document corpora. An interesting thread in his career is the consistent focus on bringing on-prem LLMs into secure production environments, reflecting both technical depth and operational rigor.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree Biology/Microbiology, Bachelor's degree Biology/Microbiology at Université de Caen Normandie
Baccalauréat Scientifique, Baccalauréat Scientifique at Lycée Jeanne d'Arc CAEN
Master of Boinformatics (from genome to ecosystems) Biologie/Informatique, Master of Boinformatics (from genome to ecosystems) Biologie/Informatique at Université de Bordeaux