Month: 2026-05 — Focused on clarifying and documenting the Live Training concept in the Supervisely Docs repository. Delivered a targeted update to the technical report to clarify Live Training's role in model training during annotation, aligning documentation with product strategy and improving onboarding for new contributors. No major bugs fixed in this scope. Impact: clearer guidance for engineers and annotators, faster ramp-up, and improved cross-team communication. Technologies/skills: technical writing, documentation workflows, Git version control, and repo hygiene.

Month: 2025-09 Overview: This month focused on delivering a high-impact feature for the Prediction API’s tracking capabilities, along with clear, customer-facing documentation enhancements to improve adoption and reduce integration friction. Key features delivered: - Prediction API: Enhanced tracking-by-detection with BoT-SORT and clearer usage. Enabled more reliable multi-object tracking in video workflows by integrating BoT-SORT, and simplified usage by allowing tracking parameters to be configured directly in the predict method. - Documentation improvements to tracking features to improve discoverability and ease of use. Major bugs fixed: - No major bugs fixed this month. Efforts focused on feature delivery and documentation clarity to reduce future risk and support faster adoption. Overall impact and accomplishments: - Improved model and API reliability for video tracking workflows, leading to faster integrations and better end-user outcomes in real-world pipelines. - Clearer guidance and examples reduce time to value for customers and teammates, strengthening product usability and documentation quality. - Enhanced traceability with explicit commits improving the tracking section and comments for future maintenance. Technologies/skills demonstrated: - BoT-SORT integration for tracking-by-detection in a production API - API design and usability enhancements (configurable tracking in predict method) - Documentation clarity and maintainability, versioned with targeted commits Commits linked to this work: - 7c355b6208b4a5f22e1670104388dccece284398: update tracking section in Prediction API - 1b236b46b24c42c6b2b5565be63346797f744cf8: update comment in tracking section

August 2025: Documentation improvements for Supervisely docs repository focused on Training Experiments and API references. Delivered a comprehensive overhaul of Training Experiments documentation with new sections, clearer motivation and lifecycle guidance, experiment details, starting/comparing experiments, deployment/fine-tuning workflows, updated visuals, and accessibility enhancements. Also fixed API docs typo by renaming parameter 'upload' to 'upload_mode' for clarity and accuracy. These efforts improve onboarding, reproducibility, and self-service capability, reducing support burden and accelerating time-to-value for users.

February 2025 monthly summary focusing on documentation engineering across Supervisely repos: delivered key features to improve deployment/prediction docs, enhanced neural networks documentation with a Legacy section and cross-links, and updated the Inference API tutorial to cover project-level end-to-end inference. Minor doc fixes and link corrections completed. These efforts reduce onboarding time, improve developer productivity, and strengthen guidance for Docker-based deployments and inference workflows.