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Leszek Swirski

PROFILE

Leszek Swirski

Worked on the google/perfetto repository over three months, delivering cross-platform profiling enhancements and improving performance analysis workflows. Developed features such as Apple Instruments profiling support and enriched JavaScript trace data, using C++ and SQL to integrate JIT symbolization and detailed flamegraph annotations. Enhanced cross-language observability by aligning JavaScript pprof frame formatting with native flamegraphs, refactoring code for consistency and future extensibility. Addressed robustness in large-scale data ingestion by stabilizing XML parsing through chunked processing and allocation retry logic. Focused on system integration, performance profiling, and error handling, contributing to more reliable and flexible profiling tools for diverse production environments.

Overall Statistics

Feature vs Bugs

80%Features

Repository Contributions

8Total
Bugs
1
Commits
8
Features
4
Lines of code
1,137
Activity Months3

Work History

March 2025

1 Commits

Mar 1, 2025

Concise monthly summary for 2025-03 focusing on the google/perfetto repository. Delivered stability improvements for the XML parser when processing very large XML inputs by implementing chunked parsing and allocation retry logic to prevent crashes and errors in high-volume ingestion scenarios.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 performance month for google/perfetto focused on improving cross-language flamegraph consistency by aligning JavaScript pprof frame formatting with native flamegraphs. Implemented port of the frame naming logic from native flamegraph queries to the pprof exporter (currently via manual table lookups) and documented a TODO to unify with the SQL-based implementation. This work enhances observability and reduces context switching when analyzing performance across JS and native code.

January 2025

6 Commits • 3 Features

Jan 1, 2025

January 2025 monthly summary for Perfetto focused on delivering cross-platform profiling enhancements, richer JavaScript trace data, and data-flexible processing to drive faster performance analysis and better decision-making.

Activity

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Quality Metrics

Correctness91.4%
Maintainability85.0%
Architecture86.2%
Performance78.8%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++GNPythonSQLTypeScriptprotobuf

Technical Skills

Build System ConfigurationC++Code RefactoringData AggregationData ExportData VisualizationDatabase InternalsDebuggingError HandlingJIT SymbolizationPerformance AnalysisPerformance OptimizationPerformance ProfilingProtocol BuffersSQL

Repositories Contributed To

1 repo

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

google/perfetto

Jan 2025 Mar 2025
3 Months active

Languages Used

C++GNPythonSQLTypeScriptprotobuf

Technical Skills

Build System ConfigurationC++Data AggregationData VisualizationDatabase InternalsDebugging