Sunjae Cho contributed to the DataDog/watermarkpodautoscaler repository by improving the project’s documentation to better reflect the actual scaling logic. Focusing on Markdown and leveraging strong documentation skills, Sunjae clarified how highTolerance and lowTolerance are calculated from the tolerance multiplier applied to watermarks. This update addressed a bug where the README did not accurately describe the scaling behavior, which could lead to user misconfiguration. By aligning the documentation with the implementation, Sunjae reduced onboarding friction and improved maintainability for the project. The work demonstrated attention to detail and a thoughtful approach to reducing configuration errors without modifying application code.