EXCEEDS logo
Exceeds
Gwen Mittertreiner

PROFILE

Gwen Mittertreiner

Worked on optimizing wakeup event parsing in the Fuchsia Trace Processor within the google/perfetto repository, focusing on improving trace loading performance. Addressed a critical bottleneck by replacing an O(N) scan of the thread state table with a hashmap lookup, which eliminated quadratic behavior and reduced load times for large traces. The solution was implemented in C++ with attention to data structures and performance optimization, and included unit testing to ensure reliability. This targeted enhancement improved code maintainability and established a foundation for further optimizations in the trace loading pipeline, reflecting a methodical approach to performance engineering and code quality.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
120
Activity Months1

Work History

May 2026

1 Commits • 1 Features

May 1, 2026

May 2026 focused on optimizing the Fuchsia Trace Processor wakeup events parsing in google/perfetto. Delivered a performance enhancement by replacing an O(N) scan with a hashmap lookup in the wakeup event resolution path, significantly reducing trace loading time and eliminating quadratic behavior on large traces. This work, tracked under commit bb97bc5de07d5af3ee1e28ae18d9353d674c1771, demonstrates a targeted improvement to the critical path and lays groundwork for further performance tuning and reliability in the trace loading pipeline.

Activity

Loading activity data...

Quality Metrics

Correctness100.0%
Maintainability80.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++Python

Technical Skills

C++ developmentdata structuresperformance optimizationunit testing

Repositories Contributed To

1 repo

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

google/perfetto

May 2026 May 2026
1 Month active

Languages Used

C++Python

Technical Skills

C++ developmentdata structuresperformance optimizationunit testing