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soumik12345

PROFILE

Soumik12345

Soumik Rakshit contributed to the roboflow/supervision repository by developing and refining features for video processing, annotation, and API clarity over a two-month period. He enhanced the video annotation pipeline to support configurable frame limits and progress tracking, improving both reliability and user experience. Soumik modernized API interfaces, expanded test coverage, and integrated new machine learning models, such as Qwen and DeepSeek VL2, to streamline interoperability. Working primarily in Python and leveraging tools like NumPy and Pytest, he focused on code quality, documentation, and maintainability. His work addressed both backend robustness and usability, resulting in a more stable, developer-friendly codebase.

Overall Statistics

Feature vs Bugs

90%Features

Repository Contributions

57Total
Bugs
2
Commits
57
Features
19
Lines of code
2,093
Activity Months2

Work History

July 2025

49 Commits • 17 Features

Jul 1, 2025

July 2025: Focused on stabilizing demos, API clarity, and testing while advancing integration capabilities. Key outcomes include a critical bug fix for the video tracking demo, new Qwen example, API clarity improvements with box_iou exposure and overlap_metric rename, and deprecation of older DetectionDataset.images. Expanded testing and documentation, including Google Gemini integration tests and mask_non_max_merge coverage. Also updated the DeepSeek VL2 integration for improved interoperability. These changes improve reliability, reduce onboarding friction, and enhance business value by enabling faster integration flows and clearer API usage. Demonstrated strengths in Python code quality, API design, testing, and CI hygiene.

April 2025

8 Commits • 2 Features

Apr 1, 2025

April 2025 monthly summary for roboflow/supervision: Delivered feature enhancements for video processing and expanded labeling support, coupled with targeted bug fixes to improve reliability and performance across the video annotation pipeline. The work resulted in more configurable, robust processing, better user feedback, and broader label compatibility, enabling teams to process video data more efficiently and with fewer failures.

Activity

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Quality Metrics

Correctness94.6%
Maintainability95.6%
Architecture91.8%
Performance91.6%
AI Usage23.0%

Skills & Technologies

Programming Languages

JavaScriptMarkdownNumPyPythonYAML

Technical Skills

AI IntegrationAPI DesignAPI IntegrationBackend DevelopmentBug FixingChangelog ManagementCode DocumentationCode ExamplesCode FormattingCode OptimizationCode OrganizationCode Quality ImprovementCode RefactoringCode StandardizationCommand Line Interface

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

roboflow/supervision

Apr 2025 Jul 2025
2 Months active

Languages Used

PythonJavaScriptMarkdownNumPyYAML

Technical Skills

Backend DevelopmentBug FixingCode OptimizationCode RefactoringCommand Line InterfaceConfiguration Management

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