
Archisha contributed to the google/perfetto repository by building developer-facing features that enhanced data analysis and system observability. She implemented Python access to Perfetto trace protobufs, enabling seamless cross-language workflows and improving Python-based trace analysis. Archisha also exposed Android bitmap tables in the Perfetto SQL library, adding tests to ensure reliability for analytics use cases. Her work included migrating DMABUF allocation metrics to the standard library for system-wide coverage and correcting SQL table data types to improve data integrity. Using Python, SQL, and TypeScript, she focused on build system configuration, data modeling, and performance analysis, demonstrating strong technical depth.

2025-08 monthly summary for google/perfetto: Focused on improving observability and data integrity through system-wide metrics and schema fixes. Major outcomes include migrating the DMABUF allocations time-series metric to the standard library for system-wide coverage and correcting bitmap SQL table data types to ensure accurate time-series and relational data in the trace processor. These changes enhance debugging capabilities, reliability of performance analyses, and reduce future maintenance.
2025-08 monthly summary for google/perfetto: Focused on improving observability and data integrity through system-wide metrics and schema fixes. Major outcomes include migrating the DMABUF allocations time-series metric to the standard library for system-wide coverage and correcting bitmap SQL table data types to ensure accurate time-series and relational data in the trace processor. These changes enhance debugging capabilities, reliability of performance analyses, and reduce future maintenance.
July 2025 performance summary for google/perfetto focusing on delivering developer-facing improvements and stronger data analysis capabilities. Implemented Python access to Perfetto trace protobufs and exposed public Android bitmap tables in the Perfetto SQL lib, with tests to validate changes. These efforts improve cross-language usability, streamline Python-based workflows, and enhance data analysis efficiency for performance investigations and debugging.
July 2025 performance summary for google/perfetto focusing on delivering developer-facing improvements and stronger data analysis capabilities. Implemented Python access to Perfetto trace protobufs and exposed public Android bitmap tables in the Perfetto SQL lib, with tests to validate changes. These efforts improve cross-language usability, streamline Python-based workflows, and enhance data analysis efficiency for performance investigations and debugging.
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