Summary
Guillaume Roy is a Machine Learning Engineer based in Strasbourg with 10 years of experience building production-grade ML and computer vision systems. He has a strong statistics and data-science foundation (ENSAI, KU Leuven, magna cum laude) and a track record of turning research-grade methods into cost-saving, deployed solutions—e.g., patenting a desynchronized 3D scene reconstruction that helped secure a €1M contract and cutting annotation costs by up to 84% through model-driven automation. Comfortable across PyTorch and TensorFlow, he modernized training infrastructure with ClearML to slash experiment launch time by 80% and scaled cloud storage to reduce monthly costs twentyfold. Guillaume also authors reusable Python packages, communicates technical progress to non-technical stakeholders, and combines creativity with rigorous evaluation—often producing unexpected wins like a SAM2-based ground detector that both improved image acceptance and saved €100k annually.
10 years of coding experience
Master of Science - MS, Statistics and Data Science, GPA: 3.7/4, Honors : Magna cum laude, Master of Science - MS, Statistics and Data Science, GPA: 3.7/4, Honors : Magna cum laude at KU Leuven
Engineer's degree, Statistics and Data Science, Engineer's degree, Statistics and Data Science at ENSAI
Dutch, English, French, German