Worked on the Jibing-Li/incubator-doris repository to deliver an adaptive runtime filter wait time configuration feature, targeting improved query performance and resource management across both cloud and local environments. The solution dynamically adjusted wait times based on cluster type, table type, and maximum row count, enabling more predictable latency and scalable performance. In cloud deployments, wait times were aligned with query timeouts to optimize resource allocation and reduce contention, while local deployments benefited from wait times tailored to data scale and table characteristics. The work leveraged Java for backend development, with a focus on performance tuning and system configuration best practices.