Gleb Balitskiy
Ml Engineer at Skolkovo Institute of Science and Technology
Dolgoprudnyy, Moscow, Russia
Summary
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Senior🎓
Top SchoolGleb Balitskiy is an ML engineer and Skoltech PhD candidate with a decade of experience bridging information theory and practical machine learning for communication and perception systems. His research on Polar and LDPC codes yielded publications and tools for 5G random access and high-rate LDPC decoding, while industry work at Huawei produced a CVPR-published quantization method for real-time CNN acceleration. Currently at VK, he applies ML to ASR, and his background spans federated learning with novel local differential privacy techniques to protect user data. Fluent in Python and MATLAB, he uniquely combines theoretical coding limits with hands-on model compression and deployment experience, making him adept at squeezing performance from both algorithms and hardware.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Computational and Data Science and Engineering, Doctor of Philosophy - PhD, Computational and Data Science and Engineering at Skolkovo Institute of Science and TechnologyMaster's degree, Applied Maths and Physics, Master's degree, Applied Maths and Physics at Московский Физико-Технический Институт (Государственный Университет) (МФТИ)
Russian, English, German
Github Skills (5)
finance1
trading1
pattern1
strategy-pattern1
decoder1
Programming languages (3)
Github contributions (5)
Balitskiy-Gleb/dataset_em
Mar 2020 - Jan 2021
Contributions:23 pushes in 10 months
Balitskiy-Gleb/HSEG
Nov 2022 - Nov 2022
Contributions:16 pushes, 1 branch in 1 day
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