Worked on enhancing observability within the pytorch-labs/monarch repository by integrating tracing more deeply into the Monarch actor system. Refactored the telemetry layer to replace manual enter and exit span calls with a context manager approach, ensuring that actor IDs are consistently tied to tracing spans for improved attribution and correlation of performance data. Focused on Python and Rust, leveraging distributed systems expertise and OpenTelemetry to deliver more granular and accurate performance monitoring. This work improved diagnostics and maintainability across the actor system, laying a foundation for future instrumentation and enabling clearer insights into system behavior without introducing additional complexity.