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Arinjoy Basak

PROFILE

Arinjoy Basak

During four months on the OpenDSA/OpenDSA repository, Basakarinjoy delivered six features and addressed key maintainability challenges across backend and frontend code. They enhanced the TAFE tool with advanced mathematical problem analysis and stabilized its online deployment, restructuring command execution and improving global object management using Python and JavaScript. Their work included refining DAG matching algorithms, optimizing data visualization layouts, and implementing environment-aware API endpoints to ensure reliable feedback workflows. By focusing on code clarity, robust API integration, and algorithmic accuracy, Basakarinjoy improved both developer onboarding and end-user experience, demonstrating depth in full stack development, data analysis, and software engineering.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

9Total
Bugs
1
Commits
9
Features
6
Lines of code
3,347
Activity Months4

Work History

December 2025

2 Commits • 1 Features

Dec 1, 2025

December 2025 performance summary for OpenDSA/OpenDSA: Delivered a major enhancement to the TAFE Tool, consolidating advanced problem-analysis capabilities and stabilizing online deployment. This work improved the analysis of mathematical problem attempts, restructured command execution, improved global object management, added capabilities for analyzing equations and their interrelations, and enhanced user-facing feedback in educational contexts. It also fixed online deployment issues related to import paths and command execution, improving reliability in online classrooms and live sessions.

November 2025

2 Commits • 2 Features

Nov 1, 2025

OpenDSA/OpenDSA — November 2025: Focused on feature delivery and maintainability to support reliable feedback workflows across environments. Delivered an environment-aware dynamic endpoint selector for feedback URLs and a comprehensive refactor of the TAFE tool to improve clarity and workflow management. No critical bugs fixed this month; emphasis on code quality to reduce future maintenance costs and accelerate deployment readiness.

June 2025

4 Commits • 2 Features

Jun 1, 2025

June 2025 monthly summary for OpenDSA/OpenDSA focusing on DAG-related improvements, diagnostic clarity, and API stability. Delivered three changes across a single repository: two feature improvements and one bug fix, all enhancing accuracy, visualization clarity, and dev-environment reliability.

May 2025

1 Commits • 1 Features

May 1, 2025

Concise monthly summary for OpenDSA/OpenDSA (May 2025): This month focused on maintainability groundwork and clear developer guidance rather than delivering end-user features. The work aligns with long-term stability and quicker future iterations on the dag_match restart flow.

Activity

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Quality Metrics

Correctness84.4%
Maintainability84.4%
Architecture77.8%
Performance80.0%
AI Usage26.6%

Skills & Technologies

Programming Languages

JavaScriptPython

Technical Skills

API IntegrationAPI developmentAlgorithm ImplementationCode CommentingCode RefactoringData VisualizationFront-end DevelopmentFull Stack DevelopmentGraph TheoryJavaScriptPythonSoftware Developmentalgorithm designbackend developmentdata analysis

Repositories Contributed To

1 repo

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

OpenDSA/OpenDSA

May 2025 Dec 2025
4 Months active

Languages Used

PythonJavaScript

Technical Skills

Code CommentingAPI IntegrationAlgorithm ImplementationCode RefactoringData VisualizationFront-end Development

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