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Omar Elfouly

PROFILE

Omar Elfouly

Over three months, Fouly contributed to the google/perfetto repository by building and enhancing core trace processing and profiling features. Fouly standardized memory analysis workflows by migrating memory snapshot tables to the Perfetto SQL standard library, aligning SQL views and Python configurations for consistency. They improved CI reliability and profiling fidelity by integrating LLVM-based symbolization, developing a C++ API wrapper, and updating build systems and Docker-based CI environments. Fouly also expanded ETM trace support, refining decoding logic and UI visualization. Their work, using C++, Python, and SQL, demonstrated depth in debugging, infrastructure, and data analysis, resulting in more robust, maintainable tooling.

Overall Statistics

Feature vs Bugs

86%Features

Repository Contributions

15Total
Bugs
1
Commits
15
Features
6
Lines of code
3,177
Activity Months3

Work History

August 2025

11 Commits • 2 Features

Aug 1, 2025

Month 2025-08: Delivered core Perfetto improvements to boost observability, data quality, and release reliability. Key outcomes include SQL symbolizer integration enabling richer debugging and data correlation, extensive ETM support enhancements across the trace processor, and build-time safeguards to prevent symbolizer/LLVM related build failures. These changes drive improved debugging workflows, more accurate performance traces, and more stable releases.

July 2025

3 Commits • 3 Features

Jul 1, 2025

July 2025 — google/perfetto: Focused on CI reliability, symbolization enhancements, and ETM trace support. Delivered three features that improve testing workflow, profiling capabilities, and trace symbolization, while maintaining a lightweight surface area for future enhancements. Major bugs fixed: No discrete major bugs recorded for this month. Overall impact and accomplishments: Strengthened CI infrastructure to support llvm-dev-dependent tests, expanded symbolization options with a dedicated LLVM symbolizer, and added ETM-level metadata extraction to improve symbolization accuracy for ETM traces. These changes reduce debugging time, improve profiling fidelity, and accelerate engineers' ability to diagnose performance issues in complex workloads. Technologies/skills demonstrated: Docker/CI configuration (sandbox CI), LLVM tooling and dynamic linking, building a C API wrapper, build system changes, unit tests, and Perfetto SQL extension development.

June 2025

1 Commits • 1 Features

Jun 1, 2025

June 2025 performance summary focused on advancing memory analysis standardization within the Perfetto trace processor. Delivered a cohesive migration to the Perfetto SQL standard library for memory snapshot tables, including the creation of new views for intrinsic tables and corresponding updates to SQL view definitions and Python table configurations to align with the new standard library. This work establishes a standardized memory analysis workflow and reduces fragmentation across memory-related trace processing.

Activity

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Quality Metrics

Correctness92.0%
Maintainability88.0%
Architecture88.0%
Performance79.2%
AI Usage20.0%

Skills & Technologies

Programming Languages

C++DockerfileGnPythonSQLShellTypeScriptgn

Technical Skills

Bug FixingBuild System ConfigurationBuild SystemsBuild Systems (GN)C++C++ DevelopmentCI/CDData AnalysisData VisualizationDatabase MigrationDebuggingDynamic LinkingEmbedded SystemsInfrastructureLLVM

Repositories Contributed To

1 repo

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

google/perfetto

Jun 2025 Aug 2025
3 Months active

Languages Used

PythonSQLC++DockerfileShellGnTypeScriptgn

Technical Skills

Database MigrationPerformance AnalysisPythonSQLBuild SystemsBuild Systems (GN)

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