Artyom Zankevich
Head Of Web Development at Akveo
Vilnius, Vilnius County, Lithuania
Summary
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Senior🎓
Top SchoolArtyom Zankevich is a Head of Web Development based in Vilnius with 11 years of experience building and leading front-end teams across startups and product companies. He combines hands-on expertise in JavaScript/TypeScript, Angular/React and React Native with Ruby/Rails back-end familiarity to deliver polished, scalable web and mobile interfaces. At Akveo he progressed from software engineer to head of the web team, guiding architecture, UI libraries and developer workflows while still contributing code. Artyom is an active open-source contributor—his front-end work on the widely used CVAT project improved dashboard components, added Redux-driven state management and modernized the UI. He’s known for balancing product-minded design with pragmatic refactoring to keep large codebases maintainable and shipping.
11 years of coding experience
7 years of employment as a software developer
Specialist Diploma Computer Science, Specialist Diploma Computer Science at Belarusian State UniversityDiploma of Vocational Education Commerce, Diploma of Vocational Education Commerce at Gomel Trade and Economic College
Russian, Russian, English
Stackoverflow
459reputation
40kreached
5answers
2questions
Github Skills (19)
javascript10
antd10
ui-design10
redux10
uid10
front-end-development10
ant10
react10
sc9
css9
scs9
user-interface8
interface-design8
ruby-on-rails6
devise6
Programming languages (7)
Github contributions (5)
cvat-ai/cvat
Jun 2019 - Sep 2019
Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It offers open-source, cloud, and enterprise products, as well as labeling services, for image, video, and 3D annotation with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
Role in this project:
Front-end Developer
Front-end DeveloperContributions:9 commits, 10 PRs, 32 comments in 2 months
Contributions summary:Artyom primarily contributed to the development of the CVAT UI, focusing on building and refining dashboard components. Their work included adding new components, implementing basic styling, and integrating pagination. They also refactored code, renamed files, updated the UI library, and introduced Redux capabilities to manage the UI state.
3daicomputer-visioncvatquality-assurance
zankevich/cvat
May 2019 - Sep 2019
Powerful and efficient Computer Vision Annotion Tool (CVAT)
Contributions:141 pushes, 6 branches in 3 months
visiondeep-learningobject-detectioncomputer-visioncvat
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