google/perfetto
Nov 2024 – Dec 2025
6 Months active
Languages Used
C++PythonJavaScriptTypeScriptprotobufSQL
Technical Skills
DebuggingKernel TracingTrace ProcessingUnit TestingBug FixingData Integrity
Chinglin Yu
PROFILE
Chinglin Yu
Chinglin Yu contributed to the google/perfetto repository by building and refining features that enhance trace analysis and data integrity for distributed systems. Over six months, Chinglin delivered improvements such as configurable Chrome trace backends, multi-machine trace labeling, and robust filtering of kernel idle tasks, using TypeScript, SQL, and Python. Their work involved careful database schema design, UI development, and trace data processing to ensure accurate, noise-free diagnostics across machines. By addressing subtle bugs in trace loading and latency reporting, Chinglin demonstrated depth in debugging and testing, resulting in more reliable performance metrics and streamlined workflows for trace-based performance analysis.
Overall Statistics
Feature vs Bugs
44%Features
Repository Contributions
9Total
Bugs
5
Commits
9
Features
4
Lines of code
845
Activity Months6
Your Network
4626 peopleSame Organization
@google.com4393
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
233
Work History
December 2025
1 Commits
Dec 1, 2025Month: 2025-12 | Repo: google/perfetto — Focused on delivering a precision fix for end-to-end input latency reporting in Perfetto. Key accomplishment: End-to-End Input Latency Calculation Fix in the android_input_events module, correcting the WHERE condition to populate end_to_end_latency_dur for display frames and fix inaccurate latency reporting (Bug 467894962). Commit reference: 5b637d152606dc0cee083f2e60c71396fa7f60da. Impact: more reliable latency metrics for UI dashboards and performance debugging; enables accurate visibility via the com.android.InputEvents UI plugin. Skills/tech: Perfetto trace analysis, Android input events data modeling, SQL data verification, regression testing and code review.
1 Commits
Dec 1, 2025Month: 2025-12 | Repo: google/perfetto — Focused on delivering a precision fix for end-to-end input latency reporting in Perfetto. Key accomplishment: End-to-End Input Latency Calculation Fix in the android_input_events module, correcting the WHERE condition to populate end_to_end_latency_dur for display frames and fix inaccurate latency reporting (Bug 467894962). Commit reference: 5b637d152606dc0cee083f2e60c71396fa7f60da. Impact: more reliable latency metrics for UI dashboards and performance debugging; enables accurate visibility via the com.android.InputEvents UI plugin. Skills/tech: Perfetto trace analysis, Android input events data modeling, SQL data verification, regression testing and code review.
December 2025
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 focused on stabilizing metric computation and expanding Trace Processor CLI flexibility in google/perfetto. Delivered a bug fix for the v2 metric's internal SQL syntax and enhanced CLI to manage multiple SQL module paths, contributing to more reliable metrics and more modular SQL pipelines, aligning with business goals of dependable tracing metrics and faster integration of SQL modules.
April 2025
2 Commits • 1 Features
Apr 1, 2025April 2025 focused on stabilizing metric computation and expanding Trace Processor CLI flexibility in google/perfetto. Delivered a bug fix for the v2 metric's internal SQL syntax and enhanced CLI to manage multiple SQL module paths, contributing to more reliable metrics and more modular SQL pipelines, aligning with business goals of dependable tracing metrics and faster integration of SQL modules.
February 2025
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on improving multi-machine trace readability and data accuracy in google/perfetto. Delivered two critical items: (1) Machine labels for multi-machine trace UI, enabling distinct identification of processes across machines and updating screenshot tests; (2) Exclusion of idle threads from multi-machine trace data by introducing an is_idle filter to prevent idle swapper tasks from appearing in traces. These changes enhance cross-machine debugging, reduce noise, and improve reliability of performance analyses. Tech stack touched includes UI instrumentation, trace data querying, and test updates. Business impact: faster root-cause analysis for distributed workloads and more dependable performance insights across machines.
2 Commits • 1 Features
Feb 1, 2025February 2025: Focused on improving multi-machine trace readability and data accuracy in google/perfetto. Delivered two critical items: (1) Machine labels for multi-machine trace UI, enabling distinct identification of processes across machines and updating screenshot tests; (2) Exclusion of idle threads from multi-machine trace data by introducing an is_idle filter to prevent idle swapper tasks from appearing in traces. These changes enhance cross-machine debugging, reduce noise, and improve reliability of performance analyses. Tech stack touched includes UI instrumentation, trace data querying, and test updates. Business impact: faster root-cause analysis for distributed workloads and more dependable performance insights across machines.
February 2025
January 2025
2 Commits • 2 Features
Jan 1, 2025Overview for 2025-01: Delivered two core features in google/perfetto that improve trace configurability and multi-machine trace analysis. No major bugs reported this month. These changes enhance Chrome tracing flexibility, improve diagnostic clarity for distributed traces, and are supported by expanded tests and data files.
January 2025
2 Commits • 2 Features
Jan 1, 2025Overview for 2025-01: Delivered two core features in google/perfetto that improve trace configurability and multi-machine trace analysis. No major bugs reported this month. These changes enhance Chrome tracing flexibility, improve diagnostic clarity for distributed traces, and are supported by expanded tests and data files.
December 2024
1 Commits
Dec 1, 2024December 2024 monthly summary for google/perfetto focusing on stabilizing multi-machine trace loading by fixing monotonic ArgSet ID and sharing trackers across contexts. The changes ensure consistent ID assignment and data integrity during multi-machine trace loading, with tests updated to cover the new behavior.
1 Commits
Dec 1, 2024December 2024 monthly summary for google/perfetto focusing on stabilizing multi-machine trace loading by fixing monotonic ArgSet ID and sharing trackers across contexts. The changes ensure consistent ID assignment and data integrity during multi-machine trace loading, with tests updated to cover the new behavior.
December 2024
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — google/perfetto. Focus this month was improving boot-time trace accuracy and stability. Key deliverable: UI trace now correctly filters boot-time kernel idle tasks by excluding task_newtask events originating from /sbin/init, eliminating display of swapper/0 idle state. Regression test added to ensure stable behavior. Commit fe05b818b24e52417ed2f36d9bbe56914a772bb0. Impact: reduces noise in boot traces, enabling faster, more reliable performance diagnoses and optimization work. Technologies/skills demonstrated: trace filtering, UI data processing, test automation and regression testing, and precise commit-level change tracking.
November 2024
1 Commits
Nov 1, 2024Month: 2024-11 — google/perfetto. Focus this month was improving boot-time trace accuracy and stability. Key deliverable: UI trace now correctly filters boot-time kernel idle tasks by excluding task_newtask events originating from /sbin/init, eliminating display of swapper/0 idle state. Regression test added to ensure stable behavior. Commit fe05b818b24e52417ed2f36d9bbe56914a772bb0. Impact: reduces noise in boot traces, enabling faster, more reliable performance diagnoses and optimization work. Technologies/skills demonstrated: trace filtering, UI data processing, test automation and regression testing, and precise commit-level change tracking.
Activity
Loading activity data...
Quality Metrics
Correctness98.8%
Maintainability93.4%
Architecture93.4%
Performance84.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++JavaScriptPythonSQLTypeScriptprotobuf
Technical Skills
Bug FixingCommand-line Interface (CLI)Configuration ManagementData IntegrityDatabase Schema DesignDebuggingFrontend DevelopmentJavaScriptKernel TracingMulti-machine SystemsMulti-machine Trace AnalysisProtocol BuffersPython programmingRefactoringSQL
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline