Argha worked on governance and capacity modeling improvements for Netflix engineering, focusing on the Netflix/zuul and Netflix-Skunkworks/service-capacity-modeling repositories. He implemented CODEOWNERS and automated review workflow adjustments in Python and YAML to reduce pull request noise and clarify review ownership, streamlining the code review process. In service-capacity-modeling, Argha enhanced CPU headroom calculations by distinguishing between physical and virtual cores, standardizing terminology, and introducing a pluggable strategy for future extensibility. His work included aligning the test suite and refactoring for reliability, demonstrating depth in DevOps, CI/CD, and system design while addressing review quality and capacity planning challenges.