BerriAI/litellm
Feb 2026 – May 2026
2 Months active
Languages Used
JavaScriptTypeScriptPython
Technical Skills
Reactfront end developmentfull stack developmentAPI developmentbackend developmenttesting
Dibyo Mukherjee
PROFILE
Dibyo Mukherjee
Over a two-month period, contributed to BerriAI/litellm by delivering two core features focused on authentication and access control. Developed deep-linking for the key creation workflow, enabling prefilled data via URL parameters and preserving SSO return URLs to streamline onboarding and reduce user friction. Later, implemented team-based model access control by ensuring team_id propagation during access checks, correcting authorization logic, and expanding test coverage to prevent regressions. The work spanned both frontend and backend development using React, JavaScript, and Python, with an emphasis on robust testing and maintainable code to improve security, reliability, and user experience across the application.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,725
Activity Months2
Your Network
1257 peopleSame Organization
@adobe.com462
Work History
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly work summary for BerriAI/litellm: Delivered team-based Model Access Control and strengthened authentication tests. Implemented team_id-based access checks, added comprehensive tests to prevent regressions, and improved security and reliability of team-scoped model access.
1 Commits • 1 Features
May 1, 2026May 2026 monthly work summary for BerriAI/litellm: Delivered team-based Model Access Control and strengthened authentication tests. Implemented team_id-based access checks, added comprehensive tests to prevent regressions, and improved security and reliability of team-scoped model access.
May 2026
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for BerriAI/litellm: Delivered a key feature in the key creation workflow, introducing deep-linking with prefilled data via URL parameters and preserving the SSO return URL to ensure a smoother authentication experience. No major bugs reported or fixed this month; minor maintenance tasks may have occurred in parallel without impacting feature delivery. Overall, the work reduced user friction, improved onboarding consistency, and laid groundwork for more robust deep-linking capabilities in the UI.
February 2026
1 Commits • 1 Features
Feb 1, 2026February 2026 monthly summary for BerriAI/litellm: Delivered a key feature in the key creation workflow, introducing deep-linking with prefilled data via URL parameters and preserving the SSO return URL to ensure a smoother authentication experience. No major bugs reported or fixed this month; minor maintenance tasks may have occurred in parallel without impacting feature delivery. Overall, the work reduced user friction, improved onboarding consistency, and laid groundwork for more robust deep-linking capabilities in the UI.
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage50.0%
Skills & Technologies
Programming Languages
JavaScriptPythonTypeScript
Technical Skills
API developmentReactbackend developmentfront end developmentfull stack developmenttesting
Repositories Contributed To
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