
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.
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.
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.

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