Summary
Darius Couchard is a researcher and data scientist with nine years of experience building large-scale machine learning and data-processing pipelines for remote sensing and Earth observation. Based in Brussels, he combines advanced Python, Spark/Dask big-data tooling, and deep-learning expertise with hands-on low-level skills in C/C++, CUDA and embedded optimization—an uncommon full-stack toolkit for EO applications. His work spans R&D and production deployments, including Kubernetes-based ML delivery on Google Cloud and time-series land-cover classification for Sentinel-2. Autodidactic and adaptable, he began in civil engineering and game development hobby projects, which contribute to his practical creativity and rapid mastery of new technologies.
9 years of coding experience
5 years of employment as a software developer
Master in Computer Science, Master in Computer Science at Ecole polytechnique de Bruxelles