Developed and integrated a new grid_sample operator for spatial interpolation in the FlagOpen/FlagGems repository, supporting nearest neighbor, bilinear, and bicubic modes to enhance computer vision workflows. The implementation, written in Python and leveraging deep learning and GPU programming expertise, included comprehensive performance benchmarking to establish baseline metrics for future optimization. Code quality was improved by replacing magic numbers with descriptive constants, increasing maintainability and readability. Additionally, continuous integration failures were addressed, stabilizing the testing pipeline and reducing flaky tests. Legacy comments were removed and code was aligned with the master branch, ensuring consistency and reliability across the project.