Summary
Simon Queyrut is a PhD student and applied AI practitioner based in Paris with eight years of experience bridging research and industry. He focuses on translating state-of-the-art AI into industrial applications, with hands-on work spanning time series, computer vision, NLP, and backend development. His background includes research roles at the University of Neuchâtel and Geneva, industry projects at ArianeGroup monitoring space debris, and practical data engineering and scraping experience from commercial roles. Trained at ENSTA Paris and ENSTA Bretagne with strong quantitative credentials, he brings disciplined engineering rigor and military-rooted leadership to complex problems. Notably, he has combined sensor-based motion inference and space-environment modeling with production-aware tooling like Docker and ETL pipelines. He excels at turning advanced ML concepts into robust, deployable systems that address real-world operational constraints.
8 years of coding experience
1 year of employment as a software developer
Post-Secondary Preparatory Class, Advanced Mathematics & Physics, Post-Secondary Preparatory Class, Advanced Mathematics & Physics at Prytanée National Militaire
Dual Degree, Artificial Intelligence, Dual Degree, Artificial Intelligence at ENSTA Paris
Engineer's degree, Top 5% over 168 students, Engineer's degree, Top 5% over 168 students at ENSTA Bretagne
Chinese, French, English, Spanish