Sergey Kosov is a Ph.D. machine learning engineer and serial founder who currently leads Uvvo, a platform tackling workforce upskilling and the European/US skilled-labor shortage with a projected EUR 6B market opportunity. With 10+ years of experience spanning research labs (Max Planck, Fraunhofer), academia (Jacobs University), and industry roles from senior architect to CTO, he blends deep computer vision and video analytics expertise with product-minded technical leadership. Sergey has built real-time imaging systems, advanced video analytics pipelines, and end-to-end platform components—skills he leverages to both design algorithms and ship production systems. He’s equally comfortable in research and hands-on engineering, having moved from optical flow and semantic segmentation research to delivering commercial 360° camera products and streaming servers. Based in Hanover, Germany, he positions early hires and co-founders to directly shape a mission-driven, scalable venture—bringing an unusually broad toolkit that spans low-level systems, ML research, and startup execution.
10 years of coding experience
10 years of employment as a software developer
Bachelor’s Degree, Applied Mathematics, 1.0, Bachelor’s Degree, Applied Mathematics, 1.0 at Kyrgyz-Russian Slavic University
Doctor of Philosophy - PhD, Computer Science, 1.0, Doctor of Philosophy - PhD, Computer Science, 1.0 at Universität Siegen
Master’s Degree, Computer Science, 1.7, Master’s Degree, Computer Science, 1.7 at Universität des Saarlandes
Contributions:1 release, 20 commits, 17 pushes in 9 months
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