google/perfetto
Mar 2025 – Aug 2025
3 Months active
Languages Used
JavaScriptTypeScriptSQL
Technical Skills
JavaScript DevelopmentPerformance AnalysisPerformance MonitoringPlugin DevelopmentTrace AnalysisTypeScript
Kshitij Gupta
PROFILE
Kshitij Gupta
Kshitij worked on the google/perfetto repository, focusing on enhancing performance metrics tooling and UI reliability for Android systems. Over three months, he delivered features such as auto-pinning Jank and Latency CUJs and visualizing notification-blocking metrics, using TypeScript, JavaScript, and SQL. He implemented a shared mechanism for track configuration, introduced safeguards to prevent empty track pinning, and developed a precise SQL function to classify missed frames. By updating both backend and UI plugins, Kshitij improved data accuracy and consistency, enabling faster diagnosis of latency issues and more reliable performance dashboards for developers analyzing Android performance traces.
Overall Statistics
Feature vs Bugs
40%Features
Repository Contributions
6Total
Bugs
3
Commits
6
Features
2
Lines of code
353
Activity Months3
Your Network
4376 people
Work History
August 2025
1 Commits
Aug 1, 2025Month 2025-08 — Perfetto: Focused on improving accuracy of missed-frame metrics in the UI and TraceProcessor. Implemented a precise SQL function android_is_missed_frame_type to classify missed frames, then updated the UI plugin to use this function. This aligns the UI's 'all missed frames' track with the official measurement, improving data quality for performance analysis and stakeholder confidence.
1 Commits
Aug 1, 2025Month 2025-08 — Perfetto: Focused on improving accuracy of missed-frame metrics in the UI and TraceProcessor. Implemented a precise SQL function android_is_missed_frame_type to classify missed frames, then updated the UI plugin to use this function. This aligns the UI's 'all missed frames' track with the official measurement, improving data quality for performance analysis and stakeholder confidence.
August 2025
July 2025
3 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07 (google/perfetto). Core progress includes delivering a feature to pin and visualize Android notifications_blocking metrics in Perfetto UI, and addressing data quality and UI reliability issues. Key changes: (1) PinAndroidPerfMetrics: Add support to pin notifications_blocking metrics to enable targeted analysis in Perfetto UI; (2) Android performance metrics track naming accuracy: PinAndroidPerfMetrics: Fix trackName on debug tracks to ensure correct data labeling; (3) UI stability for missed_frames jankType filter: Add default filter for the "all" jankType to prevent broken queries and ensure all frames data is visible. Business impact includes clearer performance data, faster diagnosis of notification latency issues, and more reliable dashboards for Android performance analysis. Demonstrates expertise in Perfetto UI instrumentation, Android performance metrics, data visualization, and robust UI defaults.
July 2025
3 Commits • 1 Features
Jul 1, 2025Monthly summary for 2025-07 (google/perfetto). Core progress includes delivering a feature to pin and visualize Android notifications_blocking metrics in Perfetto UI, and addressing data quality and UI reliability issues. Key changes: (1) PinAndroidPerfMetrics: Add support to pin notifications_blocking metrics to enable targeted analysis in Perfetto UI; (2) Android performance metrics track naming accuracy: PinAndroidPerfMetrics: Fix trackName on debug tracks to ensure correct data labeling; (3) UI stability for missed_frames jankType filter: Add default filter for the "all" jankType to prevent broken queries and ensure all frames data is visible. Business impact includes clearer performance data, faster diagnosis of notification latency issues, and more reliable dashboards for Android performance analysis. Demonstrates expertise in Perfetto UI instrumentation, Android performance metrics, data visualization, and robust UI defaults.
March 2025
2 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on business value and technical achievements for google/perfetto. Key features delivered: Performance Metrics Auto-Pinning for Jank and Latency CUJs, with a shared mechanism to generate track configurations for both CUJ types and safeguards to avoid pinning empty tracks, ensuring accurate latency-related metrics. Major bugs fixed: Latency CUJ pinning bug fixed in the metric plugin during blocking calls; PinAndroidPerfMetrics updated to automatically pin Jank CUJs to improve reliability across platforms. Overall impact: Higher fidelity performance metrics, faster visibility into UX-critical latency paths, and reduced need for manual instrumentation. Technologies/skills demonstrated: C++ plugin development, metrics instrumentation, cross-component track configuration, reliability and testing workflows for metric pinning logic. Repositories: google/perfetto. Commits affected: 67ee1d22c9106bb409684f0cc6f885e381ce8359; 9a19fa38b055c8b7f39ceacf97f668377c3b56f5.
2 Commits • 1 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on business value and technical achievements for google/perfetto. Key features delivered: Performance Metrics Auto-Pinning for Jank and Latency CUJs, with a shared mechanism to generate track configurations for both CUJ types and safeguards to avoid pinning empty tracks, ensuring accurate latency-related metrics. Major bugs fixed: Latency CUJ pinning bug fixed in the metric plugin during blocking calls; PinAndroidPerfMetrics updated to automatically pin Jank CUJs to improve reliability across platforms. Overall impact: Higher fidelity performance metrics, faster visibility into UX-critical latency paths, and reduced need for manual instrumentation. Technologies/skills demonstrated: C++ plugin development, metrics instrumentation, cross-component track configuration, reliability and testing workflows for metric pinning logic. Repositories: google/perfetto. Commits affected: 67ee1d22c9106bb409684f0cc6f885e381ce8359; 9a19fa38b055c8b7f39ceacf97f668377c3b56f5.
March 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability93.4%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JavaScriptSQLTypeScript
Technical Skills
DebuggingFrontend DevelopmentJavaScript DevelopmentPerformance AnalysisPerformance MonitoringPlugin DevelopmentSQLSystem TracingTrace AnalysisTypeScriptTypeScript DevelopmentUI Development
Repositories Contributed To
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