google/perfetto
Jan 2026 – Jan 2026
1 Month active
Languages Used
protosql
Technical Skills
Android developmentSQLperformance analysis
AMouri
PROFILE
Amouri
In January 2026, Alec Mouri developed a new feature for the google/perfetto repository, focusing on Android SurfaceFlinger workload tracing and analytics. He implemented an Android track event to capture SurfaceFlinger workload data and integrated a corresponding SQL table within the stdlib, enabling efficient querying and analysis of workload behavior. Using proto and SQL, Alec established an end-to-end measurement setup that supports detailed performance analysis and optimization opportunities for Android UI rendering. His work provided a foundation for data-driven insights into SurfaceFlinger performance, enhancing measurement accuracy and supporting ongoing performance improvements through Perfetto-based tracing and analytics tools.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
141
Activity Months1
Your Network
4595 peopleSame Organization
@google.com4362
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
233
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026: Key feature delivered for google/perfetto focusing on Android SurfaceFlinger workload tracing and analytics. Implemented a new Android track event for SurfaceFlinger workloads and added a corresponding SQL table in the stdlib to enable querying workload data, enabling end-to-end tracing and analysis. No major bugs fixed this month. Impact: provides data-driven insights for UI performance optimization and supports measurement accuracy improvements via Perfetto-based tooling. Technologies demonstrated: Android track events, Perfetto tracing, SQL/stdlib integration, and data analytics.
1 Commits • 1 Features
Jan 1, 2026January 2026: Key feature delivered for google/perfetto focusing on Android SurfaceFlinger workload tracing and analytics. Implemented a new Android track event for SurfaceFlinger workloads and added a corresponding SQL table in the stdlib to enable querying workload data, enabling end-to-end tracing and analysis. No major bugs fixed this month. Impact: provides data-driven insights for UI performance optimization and supports measurement accuracy improvements via Perfetto-based tooling. Technologies demonstrated: Android track events, Perfetto tracing, SQL/stdlib integration, and data analytics.
January 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
protosql
Technical Skills
Android developmentSQLperformance analysis
Repositories Contributed To
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