Summary
Niels Rogge is a Machine Learning Engineer with seven years of experience specializing in NLP and state-of-the-art deep learning, currently contributing to Hugging Face and implementing AI solutions for clients at ML6. He has a strong track record of open-source impact—publishing 40+ models to the Hugging Face Hub and improving core Transformers support for image and tokenizer-free models like CANINE and ViTMatte. At Hugging Face he helps onboard new algorithms, review community PRs, and integrates large models into production-friendly workflows (e.g., adding SAM2 loading from the model hub). His research and applied work bridge academia and industry through projects in process automation and demand forecasting at HOWEST, and he supports AI teaching and adoption across Belgian SMEs. Trained with magna cum laude degrees in Business & Information Systems Engineering from KU Leuven, he blends rigorous engineering, product-minded thinking, and hands-on PyTorch/Colab experimentation. Based in West Flanders, he pairs practical deployment experience with deep open-source collaboration that accelerates real-world NLP and vision projects.
7 years of coding experience
5 years of employment as a software developer
Master's degree Business and Information Systems Engineering, Master's degree Business and Information Systems Engineering at KU Leuven
Innovation et Entrepreneuriat Social, Innovation et Entrepreneuriat Social at IÉSEG School of Management
Latin-Mathematics, Latin-Mathematics at Emmaüs Aalter