Worked on stabilizing asynchronous tool integration within the stanfordnlp/dspy repository, focusing on backend reliability and error handling. Addressed a critical bug in the PythonInterpreter by implementing robust async handling, ensuring coroutine objects are properly awaited and exceptions are propagated as intended. Introduced a synchronous coroutine runner to support deterministic results in synchronous execution paths, which eliminated runtime warnings and prevented coroutine leaks into sandbox responses. Expanded end-to-end test coverage using pytest to verify async tool behavior and error propagation. Leveraged Python, asynchronous programming patterns, and backend development skills to enhance the platform’s async tool usage and maintainability.