Developed and delivered a new feature for the google/perfetto repository, focusing on enhancing Android SurfaceFlinger workload tracing and analytics. The work involved implementing an Android track event specifically for SurfaceFlinger workloads and integrating a corresponding SQL table within the stdlib, enabling efficient querying and analysis of workload data. By establishing end-to-end tracing and measurement capabilities, this contribution provided a foundation for detailed performance analysis and data-driven insights into UI optimization. The technical approach leveraged Android development, SQL, and performance analysis skills, supporting improved measurement accuracy and facilitating deeper understanding of SurfaceFlinger behavior through Perfetto-based tooling and analytics workflows.