Summary
Sébastien Ouellet is a Machine Learning Developer with 13 years of experience building data infrastructures and applying ML across cognitive, physiological, meteorological, financial, and geospatial domains. Based in Freiburg im Breisgau, he has moved from academic research at Université de Montréal and Carleton to production roles at Weather Telematics, AZUR Group, Lixar IT and currently Kinaxis, blending research rigor with operational engineering. He specializes in end-to-end data pipelines and models that bridge sensor-driven and spatial datasets, turning noisy real-world signals into actionable insights. Known for tackling cross-domain problems, he brings cognitive-science intuition to ML model design and evaluation. His background in physics coursework and cognitive science gives him a strong analytical foundation for feature engineering and experimental validation. Colleagues rely on him to translate complex domain needs into robust, production-ready ML solutions.
13 years of coding experience
6 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Université de Montréal
Bachelor's degree, Cognitive Science, Bachelor's degree, Cognitive Science at Carleton University
Various coursework, Physics, Various coursework, Physics at University of Ottawa
French, English