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Martin Liu

PROFILE

Martin Liu

Martin Liu contributed to the google/perfetto repository by developing advanced memory tracing and profiling features for Android. Over two months, he enhanced memory observability by improving gralloc allocator process-name matching and extending CMA/KMEM tracing to support new kernel versions, using C++ and Protocol Buffers for kernel and parser updates. He also refactored memory tracking logic in TypeScript, enabling unified memory usage analysis across the Perfetto UI and PixelMemory plugin. These changes allowed multi-process monitoring with aggregated views and improved debugging efficiency, reflecting a deep understanding of system tracing, frontend development, and performance analysis in complex, cross-platform environments.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

5Total
Bugs
0
Commits
5
Features
3
Lines of code
658
Activity Months2

Work History

August 2025

2 Commits • 1 Features

Aug 1, 2025

Monthly summary for 2025-08 (google/perfetto): Focused on strengthening memory profiling capabilities by delivering unified memory usage analysis enhancements across Perfetto UI and PixelMemory plugin, enabling multi-PID monitoring with aggregated views, and improving reliability through code refactors and idempotent table initialization. These changes enhance profiling accuracy, reduce debugging time, and enable broader memory analysis for performance improvements across processes.

July 2025

3 Commits • 2 Features

Jul 1, 2025

July 2025 (google/perfetto): Delivered two memory-tracing enhancements to boost Android memory observability and debugging efficiency. Gralloc memory attribution improvements tighten allocator process-name matching to improve memory tracking accuracy for Android allocations. Enhanced CMA/KMEM memory tracing and parser support adds new ftrace events for CMA and KMEM and updates the parser to support CMA allocation events across kernel versions (v6.1+), enabling detailed memory management tracing. UI enhancements surface CMA allocation/finish information to streamline debugging and visibility into allocation lifecycles.

Activity

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Quality Metrics

Correctness92.0%
Maintainability88.0%
Architecture90.0%
Performance84.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++PythonSQLTypeScript

Technical Skills

Android Performance AnalysisData ParsingDebugging ToolsFrontend DevelopmentKernel DevelopmentKernel TracingPerformance AnalysisPlugin DevelopmentProtocol BuffersSQLSystem ProgrammingSystem TracingTestingTracingTypeScript

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

google/perfetto

Jul 2025 Aug 2025
2 Months active

Languages Used

C++PythonSQLTypeScript

Technical Skills

Android Performance AnalysisData ParsingKernel DevelopmentKernel TracingPerformance AnalysisProtocol Buffers

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