Summary
Pierre De Lacaze is an independent AI architect with 11+ years building and deploying advanced ML and generative AI systems, currently focused on agentic AI and LLM architectures from Paris. He combines deep research and product experience—spanning RAG chatbots in healthcare, GNN-based recommender systems, and scalable product-similarity engines for catalogs of millions of items—with hands-on expertise in Hugging Face, LangChain, LlamaIndex, vector DBs and hybrid knowledge-graph architectures. Pierre has led teams and advised executives at enterprises like ADEO and Capgemini while also delivering high-impact contracts for industry R&D, demonstrating both technical depth and pragmatic delivery. Trained in mathematics and computer science (NYU, Rochester), he pairs theoretical grounding with decades of engineering across sectors from healthcare to e-commerce, and is trilingual in English, French and Spanish—an asset for global, cross-disciplinary AI projects.
11 years of coding experience
31 years of employment as a software developer
Lycee Francais de New York
International Baccalaureat, International Baccalaureat at The Anglo-American School
MS Computer Science, MS Computer Science at New York University
BS Applied Mathematics, BS Applied Mathematics at University of Rochester
French, Spanish, English