Worked on the AutoMQ/automq repository to enhance the stability and reliability of core scheduling components in a production environment. Focused on refactoring thread pool initialization by replacing unsafe ScheduledExecutorService patterns with a safer Threads.newSingleThreadScheduledExecutor approach, incorporating robust exception handling. Applied these changes across modules such as LoadRetriever, StreamMetadataManager, ControllerRequestSender, ElasticUnifiedLog, and LocalStreamRange to prevent performance issues and crashes caused by improper thread pool setup. Utilized Java and Scala, leveraging skills in concurrency, error handling, and performance optimization. This work improved the system’s resilience under load, contributing to more reliable task scheduling and overall product robustness.