
Over six months, contributed to the supervisely/docs repository by delivering 21 features and addressing documentation for advanced annotation tools, AI workflows, and data validation. Focused on improving onboarding and usability, the work included comprehensive guides for 3D Point Cloud workflows, neural network training, and video annotation, with detailed visuals and step-by-step instructions. Leveraged Python, Markdown, and JSON to create clear, maintainable documentation and technical guides, integrating API workflows and schema validation. Enhanced user experience through UI/UX design principles, image editing, and technical writing, resulting in consistent, accessible resources that support efficient adoption and reduce support overhead for complex annotation features.
For 2026-03, focused on delivering and documenting drag-mode enhancements for Bounding Box and Oriented Bounding Box tools in supervisely/docs, with emphasis on usability and discoverability. No major functional regressions observed; committed improvements to visuals, hotkeys, and formatting across the docs repository.
For 2026-03, focused on delivering and documenting drag-mode enhancements for Bounding Box and Oriented Bounding Box tools in supervisely/docs, with emphasis on usability and discoverability. No major functional regressions observed; committed improvements to visuals, hotkeys, and formatting across the docs repository.
February 2026: Documentation enhancements for Oriented Bounding Box Tool with Auto Track integration in supervisely/docs. Focused on improving adoption, onboarding, and deployment efficiency for video annotation workflows.
February 2026: Documentation enhancements for Oriented Bounding Box Tool with Auto Track integration in supervisely/docs. Focused on improving adoption, onboarding, and deployment efficiency for video annotation workflows.
Month: 2025-10. Focused on documenting the Zoom Independent Brush Size feature for the brush tool in supervisely/docs. Delivered comprehensive documentation describing how the feature maintains consistent stroke width across zoom levels, impact on the brush cursor appearance, and included visual aids and use-case scenarios. No major bugs logged in this period. The work sets the foundation for user onboarding and engineering clarity as the feature ships.
Month: 2025-10. Focused on documenting the Zoom Independent Brush Size feature for the brush tool in supervisely/docs. Delivered comprehensive documentation describing how the feature maintains consistent stroke width across zoom levels, impact on the brush cursor appearance, and included visual aids and use-case scenarios. No major bugs logged in this period. The work sets the foundation for user onboarding and engineering clarity as the feature ships.
August 2025 performance summary for supervisely/docs: Delivered a comprehensive documentation refresh focused on neural network training experiments and visuals, consolidating guidance across experiments, the experiment wizard, and related tooling. Updated visuals, replaced outdated assets, and standardized image formats to improve clarity and onboarding.
August 2025 performance summary for supervisely/docs: Delivered a comprehensive documentation refresh focused on neural network training experiments and visuals, consolidating guidance across experiments, the experiment wizard, and related tooling. Updated visuals, replaced outdated assets, and standardized image formats to improve clarity and onboarding.
July 2025 performance summary: Focused delivery of documentation enhancements across Supervisely Docs, emphasizing AI Search, Custom Data, and image metadata validation. Delivered new visuals, filters, and guidance to accelerate user adoption; added Advanced data section and UI assets to support metadata management; and published comprehensive JSON Schema validation docs with usage examples and API workflows. Minor content quality improvements (typos and clarity) were applied to ensure accuracy. No major bugs fixed this month; effort prioritized documentation quality and readiness for broader feature adoption, aligning with business goals of faster onboarding, reduced support load, and improved data quality.
July 2025 performance summary: Focused delivery of documentation enhancements across Supervisely Docs, emphasizing AI Search, Custom Data, and image metadata validation. Delivered new visuals, filters, and guidance to accelerate user adoption; added Advanced data section and UI assets to support metadata management; and published comprehensive JSON Schema validation docs with usage examples and API workflows. Minor content quality improvements (typos and clarity) were applied to ensure accuracy. No major bugs fixed this month; effort prioritized documentation quality and readiness for broader feature adoption, aligning with business goals of faster onboarding, reduced support load, and improved data quality.
June 2025 performance: The Supervisely Docs repository focused on a comprehensive 3D Point Cloud documentation overhaul and AI documentation enhancements, emphasizing usability, consistency, and onboarding efficiency. Key deliveries include: 1) 3D Point Cloud docs restructuring and Episod cleanup with updated visuals and clearer instructions (cleanup of point-clouds-episod.md, removal of outdated sections, new images for settings/UI). 2) Extensive tooling guidance improvements across navigation, hotkeys, auto labeling, cuboid tracking, orbit selection, and image annotation guidance. 3) Added visual assets and readability improvements for tool instructions (images for polygon annotation, brush tool, and tag creation; formatting refinements for Bounding Box, Smart Tools, and related tooling). 4) AI documentation expansion (AI Search usage and AI Search section in project datasets; refinements to AI Assistant and ground segmentation content). 5) Enriched import/export docs and color mode clarity (import/export section with images and native formats references; clarified Color Mode for color transfer to 3D point clouds). These changes streamline onboarding, enhance labeling accuracy, and strengthen documentation consistency across the 3D Point Cloud workflow.
June 2025 performance: The Supervisely Docs repository focused on a comprehensive 3D Point Cloud documentation overhaul and AI documentation enhancements, emphasizing usability, consistency, and onboarding efficiency. Key deliveries include: 1) 3D Point Cloud docs restructuring and Episod cleanup with updated visuals and clearer instructions (cleanup of point-clouds-episod.md, removal of outdated sections, new images for settings/UI). 2) Extensive tooling guidance improvements across navigation, hotkeys, auto labeling, cuboid tracking, orbit selection, and image annotation guidance. 3) Added visual assets and readability improvements for tool instructions (images for polygon annotation, brush tool, and tag creation; formatting refinements for Bounding Box, Smart Tools, and related tooling). 4) AI documentation expansion (AI Search usage and AI Search section in project datasets; refinements to AI Assistant and ground segmentation content). 5) Enriched import/export docs and color mode clarity (import/export section with images and native formats references; clarified Color Mode for color transfer to 3D point clouds). These changes streamline onboarding, enhance labeling accuracy, and strengthen documentation consistency across the 3D Point Cloud workflow.

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