Dik Van Genuchten is a Data Science Software Engineer with eight years of experience, currently applying reinforcement learning and computer vision expertise at Alliander while completing a Master's in Data Science & AI at Eindhoven University of Technology. He built and scaled CV models during a thesis internship at Avular, using PyTorch and Slurm clusters to advance variational autoencoder–based image segmentation and earning an 8.0 thesis grade. Prior roles at Hawkeye Recognition and long-standing involvement with Serpentine AI reflect a mix of hands-on model development and advisory experience. Comfortable bridging research and production, Dik combines rigorous academic training with practical cluster-based training workflows and a penchant for RL and visual representation learning that informs his engineering decisions.
8 years of coding experience
4 years of employment as a software developer
Master's degree, Data Science & Artificial Intelligence, 8.0, Master's degree, Data Science & Artificial Intelligence, 8.0 at Eindhoven University of Technology
Bachelor's degree, Data Science, Bachelor's degree, Data Science at Tilburg University
VWO, Gymnasium, 7, VWO, Gymnasium, 7 at Gymnasium Beekvliet
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Dik Van Genuchten - Data Science Software Engineer