Developed and integrated task scheduling latency monitoring for the tokio-rs/tokio repository, focusing on enhancing runtime observability and enabling data-driven performance optimization. The work involved implementing metrics instrumentation in Rust to measure the latency between task scheduling and polling, with an optional histogram visualization for execution efficiency. Architecture-aware checks were added to ensure accurate latency measurement on 64-bit systems, and the new metrics were seamlessly integrated with the existing backend for centralized monitoring. This feature provides actionable insights into tail latency and throughput, supporting ongoing performance tuning efforts. The project demonstrated skills in Rust, metrics implementation, and performance monitoring.