Ivan Kruzhilov
Senior Engineer at Sberbank
Greater Nuremberg Metropolitan Area Germany
Summary
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Senior🎓
Top SchoolIvan Kruzhilov is a Senior Engineer and applied mathematician with a PhD, bringing 6+ years in machine learning and five years of industry experience building practical AI for medical imaging, robotics, and industrial analytics. He currently develops semi-supervised tumor segmentation and representation learning for PET/CT at Sber AI Lab, after leading depth estimation and domain-adaptive GAN work at Samsung’s Visual Understanding & Robotics Lab. His background spans high-dimensional statistical modeling and probabilistic design for Siemens power fleets and quaternion-based satellite attitude algorithms at a space-agency contractor, reflecting rare breadth from flight-grade signal processing to clinical ML. Comfortable moving research into production, he combines deep theoretical training (PhD and postdoc in computational/applied math) with hands-on experience in embeddings, contrastive learning and generative models. Based in the Greater Nuremberg area, he pairs rigorous mathematical tools with domain-focused engineering to tackle noisy, high-stakes data problems.
5 years of coding experience
11 years of employment as a software developer
Engineer's degree, Informatics, Engineer's degree, Informatics at Technische Universität IlmenauDoctor of Philosophy - PhD, Applied Mathematics, Doctor of Philosophy - PhD, Applied Mathematics at Moscow Power Engineering Institute (Technical University)
Github Skills (4)
self-supervised-learning9
pytorch7
machine-learning7
deep-learning5
Programming languages (2)
Github contributions (5)
BearSubj13/petct
Jan 2021 - Aug 2021
Contributions:24 pushes, 2 branches in 6 months
BearSubj13/hemming_autoencoder
Oct 2020 - Dec 2020
Contributions:9 pushes, 2 branches in 2 months
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