Leonid Verkhovtsev

Deep Learning Engineer at Sberbank

Krasnodar, Krasnodar Krai, Russia
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Summary

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Leonid Verkhovtsev is a Deep Learning Engineer with a decade of experience applying ML to real-world problems, currently researching GPR (ground-penetrating radar) survey applications at Sberbank. A Kaggle Expert with a PhD-focused background in computer science, he blends rigorous academic research with hands-on engineering from prior work at OCRV/Russian Railways. Based in Krasnodar, he excels at turning scientific ideas into production-ready models and has a demonstrated interest in advancing ML for science. His unusual combination of technical depth and a bachelor’s degree in law gives him a pragmatic perspective on engineering, regulation, and project delivery.
code10 years of coding experience
job3 years of employment as a software developer
bookMaster's degree, Computer Science, Master's degree, Computer Science at Дальневосточный Государственный Университет Путей Сообщения (ДВГУПС)
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Far Eastern State Transport University
bookBachelor's degree, Law, Bachelor's degree, Law at Khabarovsk State University of Economics and Law
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Github Skills (49)

glip10
representation-learning10
pytorch10
benchmark10
text-segmentation10
toolbox10
image-processing10
image-classification10
openmmlab10
metric-learning10
pytorch-lightning10
information-retrieval10
text-classification10
reinforcement-learning10
distributed-computing10

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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Library for metric learning pipelines
Contributions:4 PRs, 7 pushes, 5 branches in 1 year 1 month
pytorchdeep-learningmetric-learningmachine-learningrecall
leoromanovich/leoromanovich

Aug 2020 - Dec 2022

Contributions:7 pushes, 1 branch in 2 years 4 months
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Leonid Verkhovtsev - Deep Learning Engineer at Sberbank