Vlad Meshcheryakov
Principal DevOps Engineer at VK
Nizhniy Novgorod, Nizhniy Novgorod, Russia
Summary
🤩
Rockstar🎓
Top SchoolVlad Meshcheryakov is a Principal DevOps Engineer with 11 years of experience building and operating large-scale CI/CD, lab and cloud infrastructures for performance-critical projects. He has led infrastructure and QA for Intel oneAPI analytics libraries, migrating core libraries to open source, implementing CaaS/Kubernetes platforms, and slashing issue resolution times through process and automation improvements. Vlad combines deep systems administration (thousands of lab hosts) with modern DevOps practices—Ansible, Docker, GitHub Actions, Azure DevOps—and a track record of stabilizing complex build and test pipelines. At Intel he implemented validation architectures for AI toolkits and fixed critical download and CI issues in prominent repos such as oneDAL. Now based in Nizhniy Novgorod and currently at VK, he applies inventive, out-of-the-box problem solving to production reliability and deployment automation. He holds a master’s in computer science and is noted for pragmatic tooling fixes that unblock large engineering communities.
11 years of coding experience
9 years of employment as a software developer
Master degree of computer science, Applied Mathematics and Computer Science, Master degree of computer science, Applied Mathematics and Computer Science at Нижегородский Государственный Университет им. Н.И. Лобачевского (ННГУ)
Русский, English
Github Skills (15)
sh10
automation10
script10
automations10
bash10
shell10
devops10
scripting10
build-automation10
cicd10
githubaction-workflow9
github-ci9
oneapi8
python7
cpp6
Programming languages (6)
Github contributions (5)
uxlfoundation/oneDAL
Sep 2019 - Oct 2021
oneAPI Data Analytics Library (oneDAL)
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:1 release, 11 reviews, 10 commits in 2 years 2 months
Contributions summary:Vlad contributed significantly to improving the build and deployment process by fixing download scripts and implementing necessary configurations. They addressed issues in helper scripts like `mklfpk.sh` and `tbb.sh`, resolving download failures and updating platform configurations. Furthermore, the user made modifications to solution generation scripts by cross python to deploy locally. Additionally, they have been identified fixing the azure ci pipeline with clang-format and apt key updates.
swrepodata-analyticsanalyticscppdata-analysis
vmeshche/oneDAL
Jul 2020 - Dec 2022
oneAPI Data Analytics Library (oneDAL)
Contributions:8 PRs, 89 pushes, 19 branches in 2 years 5 months
data-analyticsanalyticsoneapianalytics-libraryonedal
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