cvat-ai/cvat
Nov 2024 – Dec 2024
2 Months active
Languages Used
JavaScriptMarkdownSCSSTypeScriptPython
Technical Skills
Automated TestingBug FixingCSSCypressDocumentationEnd-to-End Testing
Kirill Lakhov
PROFILE
Kirill Lakhov
Kirill contributed to the cvat-ai/cvat repository by developing and refining features that improved job creation, annotation tools, and metadata handling. He implemented robust error handling and UI enhancements using TypeScript and React, ensuring more reliable rendering and user interactions. Kirill addressed backend challenges such as chunk preparation and frame deletion synchronization, leveraging JavaScript and state management techniques to prevent data loss and support dynamic job metadata refresh intervals. His work included expanding automated and end-to-end testing with Cypress, which stabilized the test suite and reduced regressions. These targeted improvements enhanced both the reliability and maintainability of the codebase.
Overall Statistics
Feature vs Bugs
36%Features
Repository Contributions
16Total
Bugs
9
Commits
16
Features
5
Lines of code
895
Activity Months2
Your Network
29 peopleShared Repositories
29
Work History
December 2024
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for cvat-ai/cvat focusing on delivering business value through reliable metadata handling, robust job chunk processing, and stabilized QA practices.
6 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for cvat-ai/cvat focusing on delivering business value through reliable metadata handling, robust job chunk processing, and stabilized QA practices.
December 2024
November 2024
10 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for cvat-ai/cvat. Delivered measurable business value through robust job creation improvements, enhanced annotation tools, and more reliable UI and rendering. Implemented key features, fixed critical bugs, and expanded end-to-end testing to improve stability and user confidence.
November 2024
10 Commits • 4 Features
Nov 1, 2024November 2024 monthly summary for cvat-ai/cvat. Delivered measurable business value through robust job creation improvements, enhanced annotation tools, and more reliable UI and rendering. Implemented key features, fixed critical bugs, and expanded end-to-end testing to improve stability and user confidence.
Activity
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Quality Metrics
Correctness86.2%
Maintainability83.8%
Architecture78.8%
Performance75.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
JavaScriptMarkdownPythonSCSSTypeScript
Technical Skills
Automated TestingBackend DevelopmentBug FixingCSSCachingCode AnalysisConfiguration ManagementCypressDocumentationEnd-to-End TestingEnd-to-end testingError HandlingFront End DevelopmentFront-end DevelopmentFrontend Development
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline