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PROFILE

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Vihaan Sahu developed and packaged the Critiplot recipe for risk-of-bias visualization in systematic reviews, contributing to the conda-forge/staged-recipes repository. He focused on enabling reproducible builds and automated CI validation, which supports researchers conducting meta-analyses. Using Python and YAML, Vihaan managed dependencies, resolved linting issues, and updated build instructions to align with Python packaging standards. He addressed quality and correctness by fixing URL formatting and refining source configuration, ensuring robust installation and testing. His work demonstrated depth in dependency management, recipe management, and CI integration, resulting in a reliable workflow for risk-of-bias visualization within the conda-forge ecosystem.

Overall Statistics

Feature vs Bugs

50%Features

Repository Contributions

4Total
Bugs
1
Commits
4
Features
1
Lines of code
71
Activity Months1

Work History

October 2025

4 Commits • 1 Features

Oct 1, 2025

Month 2025-10: Focused on enabling reliable risk-of-bias visualization workflows via Critiplot in conda-forge staging, with packaging quality improvements to support reproducible builds and CI validation for researchers relying on systematic reviews and meta-analyses.

Activity

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Quality Metrics

Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

PythonYAML

Technical Skills

Python developmentYAML configurationdata visualizationdependency managementlintingpackage managementrecipe management

Repositories Contributed To

1 repo

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

conda-forge/staged-recipes

Oct 2025 Oct 2025
1 Month active

Languages Used

PythonYAML

Technical Skills

Python developmentYAML configurationdata visualizationdependency managementlintingpackage management