Worked on enhancing the reliability of cuDNN logging within the JuliaGPU/CUDA.jl repository by addressing an issue where asynchronous callbacks could miss log messages due to libuv coalescing. Implemented a solution in Julia that processes all available log messages in a loop, ensuring complete capture and improved observability of cuDNN-related logs. Focused on asynchronous programming, error handling, and logging, the update was self-contained within the logging subsystem and preserved the existing public API. This change resulted in more stable GPU workload diagnostics, reduced the likelihood of missed messages, and met production reliability targets without introducing performance regressions or breaking changes.