Worked on the ray-project/ray repository to enhance upgrade safety, reliability, and observability for production deployments. Focused on ensuring TensorFlow and Keras 3 compatibility within Ray Train by updating examples and tests, while introducing an environment variable to maintain legacy code paths during the transition. Improved Prometheus service discovery by writing discovery files to session-specific directories, preventing cross-session conflicts and maintaining backward compatibility through symlinks. Utilized Python for backend development, system design, and rigorous test-driven development, demonstrating a deep understanding of Ray internals and filesystem operations. The work addressed both feature development and bug fixes within a short timeframe.