During December 2025, Hongjian Cang developed RLVR Pipeline Performance Monitoring Timers for the alibaba/ROLL repository, focusing on enhancing observability and performance monitoring within RLVR pipelines. Using Python and backend development skills, Hongjian instrumented the RLVRPipeline and RLVRVLMPipeline classes with metrics timers, enabling more granular data collection for performance analysis. This work improved SLA visibility and facilitated faster root-cause analysis, supporting data-driven performance tuning. By aligning with the ROLL project’s instrumentation roadmap, Hongjian established a foundation for broader metrics coverage. The depth of the implementation demonstrated strong proficiency in code instrumentation and cross-module collaboration, though no bugs were addressed.