Vladimir Yugay is a research-focused computer vision engineer with 11 years of experience building practical Spatial AI systems, currently pursuing a PhD at the University of Amsterdam and interning on Spatial AI at Meta. His work centers on efficient, real-world 3D reconstruction at scale, with prior industry roles delivering 3D human body reconstruction, pose estimation, and synthetic data pipelines at Kaia Health and perception systems for robots at Magazino. Comfortable moving ideas from research to production, he has strong foundations in applied math and data engineering from MSU and TUM. Based in Amsterdam, he combines academic rigor with hands-on engineering across ML pipelines, and is particularly interested in techniques that make large-scale 3D reconstruction computationally and data efficient.
11 years of coding experience
4 years of employment as a software developer
Master's degree Data Engineering and Analytics, Master's degree Data Engineering and Analytics at Technical University of Munich
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Amsterdam
Contributions:35 pushes, 3 branches in 3 years 4 months
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