Developed GPU Shuffle API compatibility for the ray-project/ray repository, enabling seamless integration with RapidsMPF 26.2 following a breaking API change. The work involved updating Python imports and refining memory management to align with the latest Rapids stack, ensuring that GPU shuffle operations continued to function without user disruption. Focused on GPU programming and data processing, the developer validated the changes to maintain performance and traced the implementation to a related issue for future maintenance. This targeted feature addressed a critical compatibility gap, demonstrating a methodical approach to adapting complex data workflows to evolving third-party dependencies within the Python ecosystem.