Summary
Nicolas Legrand is a GenAI Solution Architect based in Paris with 11 years of experience blending research-grade modeling and production software to solve real-world problems. He specializes in NLP and Generative AI, applying pragmatic RAG and ranking approaches to drive adoption and measurable outcomes across enterprise settings. His background spans HPC CFD research (PhD-level work at CNRS) to deploying cloud-native ML pipelines for aviation and urban mobility, showing an unusual ability to move from billion-degree-of-freedom simulations to lightweight production services. At ELQANO he led R&D that improved complex query handling by 20% and boosted expert discovery by 13%, and he has operationalized real-time ADS-B enrichment on GCP for OpenAirlines. A front-end cartographer and author of Mad Maps, he brings a strong spatial thinking dimension to data products and a taste for turning research ideas into customer-facing features. Nicolas combines deep mathematical training with hands-on engineering, making him effective at bridging R&D, product and ops.
11 years of coding experience
7 years of employment as a software developer
Mathématiques, Mathématiques at CPGE MPSI/MP Georges Clemenceau
Research Master Degree in Dynamics Energy & Transfers Combustion Radiation Turbulence Two-phase Transfer., Research Master Degree in Dynamics Energy & Transfers Combustion Radiation Turbulence Two-phase Transfer. at ENSEEIHT
Engineering degree in process engineering and Computer Science Fluids Energy and Processes, Engineering degree in process engineering and Computer Science Fluids Energy and Processes at Ecole Nationale Supérieure des Ingénieurs en Arts Chimiques et Technologiques
French, English, Portuguese, German