Daniel Karavolos is an ML Team Lead with a decade of experience turning sports and motion data into actionable, human-centered insights. Based in Castricum, Netherlands, he has grown from a solo researcher to leading a small team of data scientists and ML engineers at Beyond Sports, coordinating projects from camera calibration to limb-tracking validation. His work spans computer vision, deep learning for texture and portrait enhancement, and motion-data cleaning and augmentation, with hands-on supervision of multiple Bachelor and Master research projects. Daniel combines academic rigor—anchored by an MSc from the University of Amsterdam and PhD work at the University of Malta—with product-focused execution, shipping research into practical tools for sports analytics. He favors pragmatic, data-driven solutions that improve athlete and viewer experiences, and is comfortable moving between research, implementation, and mentoring roles. An understated strength is his ability to translate complex model outputs into intuitive human experiences that drive adoption beyond the lab.
10 years of coding experience
Bachelor of Science (BSc), Bachelor of Science (BSc) at Rijksuniversiteit Groningen
MSc, MSc at University of Amsterdam
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Malta
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