Nikita Vasilev
Deep Learning Engineer at Samsung Electronics
Moscow, Moscow City, Russia
Summary
👤
Senior🎓
Top SchoolNikita Vasilev is a Deep Learning Engineer with 14 years of experience, currently applying state-of-the-art computer vision techniques at Samsung Research Russia. He specializes in GANs—having progressed from DCGANs to adapting StyleGAN2 for production and researching recent SOTA models like FastGAN, ProjectedGAN, and StyleGAN-XL—while also working on object detection, pose estimation, and classification using PyTorch. Trained in applied mathematics and information technology (MIPT), he combines strong theoretical foundations with hands-on model engineering and deployment experience. His contributions to open-source tooling include CI and test infrastructure improvements for a widely used Rails PDF plugin, reflecting a pragmatic attention to reliability and reproducible workflows.
14 years of coding experience
Graduate Certificate, Information Technology, First-degree diploma, Graduate Certificate, Information Technology, First-degree diploma at Moscow Institute of Physics and Technology (State University) (MIPT)Bachelor's degree, Applied Mathematics, 4.3/5.0, Bachelor's degree, Applied Mathematics, 4.3/5.0 at Finance University under the Government of the Russian Federation
English, Russian
Github Skills (6)
ruby10
configuration-management10
ruby-rails10
rails10
travis-ci10
testing10
Programming languages (9)
Github contributions (5)
mileszs/wicked_pdf
Jan 2013 - Apr 2013
PDF generator (from HTML) plugin for Ruby on Rails
Role in this project:
DevOps Engineer
DevOps EngineerContributions:15 commits in 2 months
Contributions summary:Nikita's primary contributions focused on integrating and configuring continuous integration using Travis CI. This involved modifying the test setup and adjusting configuration files for the dummy Rails application. They fixed paths in test helpers and updated configuration files across different environments (development, test, and production) within the dummy app for testing purposes. The user also addressed version information, which impacted testing.
ruby-on-railspdf-generatorpdfrailspdfkit
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