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Arinjoy-Basak

PROFILE

Arinjoy-basak

Contributed to the OpenDSA/OpenDSA repository by developing and refining features that enhance feedback workflows, diagnostic clarity, and mathematical problem analysis. Applied Python and JavaScript to implement dynamic API endpoints, refactor visualization logic, and stabilize online deployment for educational tools. Focused on maintainability by documenting restart logic and restructuring code for clarity, while also improving DAG matching algorithms and feedback integration. Enhanced the TAFE tool with advanced analytics for equations and user feedback, addressing both backend and front-end requirements. The work emphasized robust code quality, environment-aware configuration, and reliable deployment, supporting both developer onboarding and live classroom scenarios.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

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

Your Network

18 people

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