Worked on the ai-dynamo/dynamo repository to stabilize multimodal PD processing by addressing a race condition in the worker handler. Using Python and asynchronous programming techniques, the developer identified and resolved a concurrency bug that previously led to inaccurate token counting and inconsistent output formatting across different modalities. This backend development effort restored correctness in token accounting and improved the reliability of end-to-end PD workflows. The fix enhanced the predictability of downstream analytics and billing processes that depend on PD processing, demonstrating careful debugging and attention to code quality. All changes were delivered with clean, well-documented commits and proper attribution.