Argha worked on governance and capacity modeling improvements for Netflix, focusing on the Netflix/zuul and Netflix-Skunkworks/service-capacity-modeling repositories. He enhanced the code review workflow by implementing CODEOWNERS and refining review automation to reduce noise from automated pull requests, clarifying reviewer responsibilities and exclusions. In the service-capacity-modeling repository, Argha introduced a pluggable CPU headroom calculation strategy, accounting for physical versus virtual cores and standardizing terminology for consistency. Using Python and YAML, he aligned the test suite with the new model and performed targeted refactoring. These changes improved review quality, development velocity, and the accuracy of capacity planning processes.