Summary
Louis Naudet is a Legal Product and AI Engineer based in Paris with eight years of experience at the intersection of taxation, law and machine learning. He designs API-first interfaces and predictive analysis modules for legal workflows, leading product strategy and technical teams to deliver compliant data pipelines and dataset annotation at European scale. His background as a tax developer and data analyst for the French Ministry of Finance gives him rare domain expertise in fraud-detection models and regulatory-safe data practices. He has applied NLP and vector similarity techniques (FAISS, HNSW/IVF) to automate complex tax and compliance document generation in startup and law-firm environments. Comfortable moving between research and product, he pairs a Master’s in corporate taxation from Dauphine-PSL with hands-on ML engineering, recruitment and QA of generative systems. Colleagues rely on him for turning legal complexity into auditable, production-ready AI features.
7 years of coding experience
3 years of employment as a software developer
Master's degree in corporate tax law - Course 221, Taxation, Master's degree in corporate tax law - Course 221, Taxation at Université Paris Dauphine - PSL
University Research Diploma in Law, Taxation, University Research Diploma in Law, Taxation at PSL Research University
Dual license in Law / Economics - Management, Economics - Law - Management, Dual license in Law / Economics - Management, Economics - Law - Management at Université Paris-Saclay
French, English, Spanish