google/perfetto
Oct 2024 – Mar 2026
11 Months active
Languages Used
C++PythonSQLTypeScriptccprotoprotobufpy
Technical Skills
Backend DevelopmentDatabase ManagementDatabase Schema DesignDocumentation GenerationJSON ParsingPerformance Analysis
Anna Mayzner
PROFILE
Anna Mayzner
Mayzner developed advanced data exploration and visualization features for the google/perfetto repository, focusing on the Explore Page and Data Explorer systems. He engineered robust query-building workflows, scalable charting infrastructure, and multi-tab data analysis, integrating technologies such as TypeScript, SQL, and React. His work included architectural refactoring for maintainability, type inference algorithms for safer queries, and localStorage-based state persistence for collaborative workflows. By implementing features like trace summarization, dashboard grids, and permalink sharing, Mayzner improved both user experience and system reliability. The depth of his contributions is reflected in comprehensive testing, defensive programming, and consistent attention to data integrity and performance.
Overall Statistics
Feature vs Bugs
68%Features
Repository Contributions
402Total
Bugs
78
Commits
402
Features
167
Lines of code
160,154
Activity Months11
Your Network
4595 peopleSame Organization
@google.com4362
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
233
Work History
March 2026
65 Commits • 39 Features
Mar 1, 2026March 2026 performance summary for google/perfetto focused on delivering robust trace analysis, improved data exploration UX, and scalable data processing. Key work spanned new trace/visualization capabilities, multi-tab Data Explorer enhancements, and stability/performance improvements across the Summarizer and dashboard layers. The month also advanced serialization support, data typing consistency, and reliability checks to strengthen engineering throughput and developer experience.
65 Commits • 39 Features
Mar 1, 2026March 2026 performance summary for google/perfetto focused on delivering robust trace analysis, improved data exploration UX, and scalable data processing. Key work spanned new trace/visualization capabilities, multi-tab Data Explorer enhancements, and stability/performance improvements across the Summarizer and dashboard layers. The month also advanced serialization support, data typing consistency, and reliability checks to strengthen engineering throughput and developer experience.
March 2026
February 2026
26 Commits • 20 Features
Feb 1, 2026February 2026 performance summary for google/perfetto: Delivered a focused set of UX enhancements, data-exploration improvements, and architectural refactors that increase traceability, collaboration, and maintainability while expanding charting capabilities for richer data visualization. Notable outcomes include preserved PR build history in comments, enhanced nodegraph interaction, permalink-enabled data sharing, and scalable charting infrastructure. These changes improve developer productivity, shorten time to insight, and lay groundwork for future analytics features.
February 2026
26 Commits • 20 Features
Feb 1, 2026February 2026 performance summary for google/perfetto: Delivered a focused set of UX enhancements, data-exploration improvements, and architectural refactors that increase traceability, collaboration, and maintainability while expanding charting capabilities for richer data visualization. Notable outcomes include preserved PR build history in comments, enhanced nodegraph interaction, permalink-enabled data sharing, and scalable charting infrastructure. These changes improve developer productivity, shorten time to insight, and lay groundwork for future analytics features.
January 2026
83 Commits • 24 Features
Jan 1, 2026Month: 2026-01 — Delivered targeted business value through UX polish, stability improvements in exploration workflows, and expanded data querying capabilities in google/perfetto. The month focused on making the Explore Page more discoverable and reliable, hardening graph interactions, and broadening data source support and structured query capabilities to enable more flexible analysis pipelines.
83 Commits • 24 Features
Jan 1, 2026Month: 2026-01 — Delivered targeted business value through UX polish, stability improvements in exploration workflows, and expanded data querying capabilities in google/perfetto. The month focused on making the Explore Page more discoverable and reliable, hardening graph interactions, and broadening data source support and structured query capabilities to enable more flexible analysis pipelines.
January 2026
December 2025
103 Commits • 53 Features
Dec 1, 2025December 2025: Major architectural, data-quality, and UX upgrades across the Explore Page and Structured Query system, delivering safer, faster, and more productive data exploration. Key features delivered include cross-node column type propagation, a dedicated QueryExecutionService, and data-availability checks for 13 stdlib modules, enabling clearer UX and fewer empty results. Added FilterDuringNode for precise temporal filtering, multi-table workflow enhancements, and a series of UI/UX refinements (node styling, landing pages, examples card, and persistent state). Major bugs fixed address secondaryInputs handling, join-related column updates, silent failure scenarios, and SQL node column propagation, improving reliability and developer feedback. Overall impact: stronger query safety, reduced MTTR, and better onboarding for new users. Technologies demonstrated: type inference algorithms; architectural refactoring; structured query; UI/UX engineering; testing utilities; and localStorage-based state persistence.
December 2025
103 Commits • 53 Features
Dec 1, 2025December 2025: Major architectural, data-quality, and UX upgrades across the Explore Page and Structured Query system, delivering safer, faster, and more productive data exploration. Key features delivered include cross-node column type propagation, a dedicated QueryExecutionService, and data-availability checks for 13 stdlib modules, enabling clearer UX and fewer empty results. Added FilterDuringNode for precise temporal filtering, multi-table workflow enhancements, and a series of UI/UX refinements (node styling, landing pages, examples card, and persistent state). Major bugs fixed address secondaryInputs handling, join-related column updates, silent failure scenarios, and SQL node column propagation, improving reliability and developer feedback. Overall impact: stronger query safety, reduced MTTR, and better onboarding for new users. Technologies demonstrated: type inference algorithms; architectural refactoring; structured query; UI/UX engineering; testing utilities; and localStorage-based state persistence.
November 2025
29 Commits • 11 Features
Nov 1, 2025November 2025 Monthly Summary for google/perfetto focuses on delivering features that improve reliability, performance, and user experience in the Explore Page, Timeline integration, and state management while strengthening code quality and maintainability. Key features include exposing execution/materialization errors in the Data Explorer with a persistent executionError state, introducing a reusable widget library for the Explore Page with validation for duplicate column names, and adding a TimeRange source node to streamline timeline-based queries. Data flow reliability was enhanced by propagating Explore Page data into the timeline and reducing expensive re-executions during timeline moves. The month also included targeted bug fixes (timeline performance, interval/filters handling, and UI polish) and a broad UI/UX refresh (landing page, resizable sidebar, simplified unselected sidebar). Under the hood, centralized cleanup and graph traversal utilities were introduced to improve resource management, along with query hash caching for faster re-runs. Several polish and maintenance efforts, including docs and minor refactors, rounded out the month, reinforcing business value through faster iteration, clearer error signals, and a more scalable, maintainable codebase.
29 Commits • 11 Features
Nov 1, 2025November 2025 Monthly Summary for google/perfetto focuses on delivering features that improve reliability, performance, and user experience in the Explore Page, Timeline integration, and state management while strengthening code quality and maintainability. Key features include exposing execution/materialization errors in the Data Explorer with a persistent executionError state, introducing a reusable widget library for the Explore Page with validation for duplicate column names, and adding a TimeRange source node to streamline timeline-based queries. Data flow reliability was enhanced by propagating Explore Page data into the timeline and reducing expensive re-executions during timeline moves. The month also included targeted bug fixes (timeline performance, interval/filters handling, and UI polish) and a broad UI/UX refresh (landing page, resizable sidebar, simplified unselected sidebar). Under the hood, centralized cleanup and graph traversal utilities were introduced to improve resource management, along with query hash caching for faster re-runs. Several polish and maintenance efforts, including docs and minor refactors, rounded out the month, reinforcing business value through faster iteration, clearer error signals, and a more scalable, maintainable codebase.
November 2025
March 2025
15 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on developer work across the google/perfetto repository. Key features delivered, major bugs fixed, impact, and technologies demonstrated. Key features delivered: - Explore Page Query Builder Enhancements and Textproto View: user-facing expansion enabling copyable and shareable structured queries (StructuredQuery textproto), refined query generation, column selection, operator integration, improved data-source addition UX, and node operations (edit, duplicate, remove) with copyable SQL snippets and row-limiting UI behavior. - ART Heap Graph SQL Views: introduced new SQL views (heap_graph_class, heap_graph_object, heap_graph_reference) for structured access to class, objects, and inter-object references, enabling advanced heap analysis; stdlib prelude updated to include heap_graph tables. Major bugs fixed: - BitVector Resize Bug Fix: corrects counts when expanding Resize; added unit tests to verify resize behavior. Overall impact and accomplishments: - Significantly improved developer experience for data exploration and analysis with enhanced query building, copy/share capabilities, and safer data viewing constraints (row limits). - Enabled deeper heap-graph analysis via new SQL views, streamlining memory analysis workflows. - Improved code quality and stability through targeted bug fixes and comprehensive testing. Technologies/skills demonstrated: - UI/UX improvements, Textproto handling, and end-to-end feature delivery in the Explore Page. - SQL view design and stdlib integration for new heap-graph data structures. - Unit testing and defensive programming to ensure correctness in core data structures.
March 2025
15 Commits • 2 Features
Mar 1, 2025Monthly summary for 2025-03 focusing on developer work across the google/perfetto repository. Key features delivered, major bugs fixed, impact, and technologies demonstrated. Key features delivered: - Explore Page Query Builder Enhancements and Textproto View: user-facing expansion enabling copyable and shareable structured queries (StructuredQuery textproto), refined query generation, column selection, operator integration, improved data-source addition UX, and node operations (edit, duplicate, remove) with copyable SQL snippets and row-limiting UI behavior. - ART Heap Graph SQL Views: introduced new SQL views (heap_graph_class, heap_graph_object, heap_graph_reference) for structured access to class, objects, and inter-object references, enabling advanced heap analysis; stdlib prelude updated to include heap_graph tables. Major bugs fixed: - BitVector Resize Bug Fix: corrects counts when expanding Resize; added unit tests to verify resize behavior. Overall impact and accomplishments: - Significantly improved developer experience for data exploration and analysis with enhanced query building, copy/share capabilities, and safer data viewing constraints (row limits). - Enabled deeper heap-graph analysis via new SQL views, streamlining memory analysis workflows. - Improved code quality and stability through targeted bug fixes and comprehensive testing. Technologies/skills demonstrated: - UI/UX improvements, Textproto handling, and end-to-end feature delivery in the Explore Page. - SQL view design and stdlib integration for new heap-graph data structures. - Unit testing and defensive programming to ensure correctness in core data structures.
February 2025
18 Commits • 2 Features
Feb 1, 2025February 2025: Focused on user-facing analytics capabilities, data integrity, and clearer error handling. Delivered the Explore Page Group By with aliasing, multi-aggregation, filters, and node-level selection; introduced sched_with_thread_process view for extended scheduling insights; hardened metrics and query semantics with null-value support and two-argument enforcement for SPAN_JOIN; fixed interval_intersector no-op bug. These changes enhance data exploration accuracy, reliability, and actionable observability for Perfetto users and developers.
18 Commits • 2 Features
Feb 1, 2025February 2025: Focused on user-facing analytics capabilities, data integrity, and clearer error handling. Delivered the Explore Page Group By with aliasing, multi-aggregation, filters, and node-level selection; introduced sched_with_thread_process view for extended scheduling insights; hardened metrics and query semantics with null-value support and two-argument enforcement for SPAN_JOIN; fixed interval_intersector no-op bug. These changes enhance data exploration accuracy, reliability, and actionable observability for Perfetto users and developers.
February 2025
January 2025
29 Commits • 5 Features
Jan 1, 2025January 2025 performance summary for google/perfetto focused on substantial UX enhancements, data exploration improvements, and integration of StructuredQuery with expanded data-source capabilities. The work delivered improves user productivity, data accessibility, and system reliability while expanding the product’s data-source ecosystem. Key features delivered: - Explore Page UI enhancements: file reorganization, node support, column renaming, persistent table rendering, popup-based operation selection, multi-join support, correct column picking, reset functionality, and scaffolding for multiple data sources. - Query Builder Core Development: initial draft of the Query Builder with support for non-trivial column types and cleanup of the query builder page. - StructuredQuery UI Integration: exposed StructuredQuery in the UI and wired access to AnalyzeStructuredQuery in the engine. - StructuredQuery and SQL enhancements: IS_NULL/IS_NOT_NULL support, SQL source support, preambles handling in StructuredQuery.Sql, and AnalyzeStructuredQuery returning referenced modules. - UI migration and data source expansion: migrate Explore Page to StructuredQuery usage and enable SimpleSlices UI and SQL data source support. Major bugs fixed: - SimpleSlices: ensured backend returns a well-defined schema. - UI/back-end Chores: optional SelectColumn alias support, Metrics v2 can return Nulls, fix for edge cases in parent_uuid handling, IntervalIntersect kLinearScan bug, and clearer error message when creating Perfetto Index. Overall impact and accomplishments: - Substantial improvement in data exploration UX and performance, enabling multi-source analysis and richer query capabilities. - Broadened data-source ecosystem (SQL data sources, SimpleSlices) and improved reliability across front-end and back-end layers. - Strengthened API surface and engine integration for StructuredQuery-based workflows, accelerating feature delivery and experimentation. Technologies/skills demonstrated: - Front-end UI/UX refactoring and React-like patterns for Explore Page, along with multi-join logic and dynamic data source scaffolding. - Backend/schema design and stabilization for SimpleSlices, plus robust query-building capabilities and StructuredQuery integration. - SQL integration, advanced query features (IS NULL/IS NOT NULL), API/RPC surface improvements, and module reference tracking in AnalyzeStructuredQuery.
January 2025
29 Commits • 5 Features
Jan 1, 2025January 2025 performance summary for google/perfetto focused on substantial UX enhancements, data exploration improvements, and integration of StructuredQuery with expanded data-source capabilities. The work delivered improves user productivity, data accessibility, and system reliability while expanding the product’s data-source ecosystem. Key features delivered: - Explore Page UI enhancements: file reorganization, node support, column renaming, persistent table rendering, popup-based operation selection, multi-join support, correct column picking, reset functionality, and scaffolding for multiple data sources. - Query Builder Core Development: initial draft of the Query Builder with support for non-trivial column types and cleanup of the query builder page. - StructuredQuery UI Integration: exposed StructuredQuery in the UI and wired access to AnalyzeStructuredQuery in the engine. - StructuredQuery and SQL enhancements: IS_NULL/IS_NOT_NULL support, SQL source support, preambles handling in StructuredQuery.Sql, and AnalyzeStructuredQuery returning referenced modules. - UI migration and data source expansion: migrate Explore Page to StructuredQuery usage and enable SimpleSlices UI and SQL data source support. Major bugs fixed: - SimpleSlices: ensured backend returns a well-defined schema. - UI/back-end Chores: optional SelectColumn alias support, Metrics v2 can return Nulls, fix for edge cases in parent_uuid handling, IntervalIntersect kLinearScan bug, and clearer error message when creating Perfetto Index. Overall impact and accomplishments: - Substantial improvement in data exploration UX and performance, enabling multi-source analysis and richer query capabilities. - Broadened data-source ecosystem (SQL data sources, SimpleSlices) and improved reliability across front-end and back-end layers. - Strengthened API surface and engine integration for StructuredQuery-based workflows, accelerating feature delivery and experimentation. Technologies/skills demonstrated: - Front-end UI/UX refactoring and React-like patterns for Explore Page, along with multi-join logic and dynamic data source scaffolding. - Backend/schema design and stabilization for SimpleSlices, plus robust query-building capabilities and StructuredQuery integration. - SQL integration, advanced query features (IS NULL/IS NOT NULL), API/RPC surface improvements, and module reference tracking in AnalyzeStructuredQuery.
December 2024
10 Commits • 3 Features
Dec 1, 2024December 2024: Core reliability and usability enhancements across Perfetto's codebase. Key outcomes include stabilizing module interoperability by removing problematic compile-time JOINID validation and enabling runtime/type validation for SQL objects, improving reliability when loading external modules (e.g., Chrometto, google3). Introduced and standardized core SQL types (ARGSETID, ID(table.column)) and enhanced metadata for docs/JSON outputs to improve schema clarity and integration. UI improvements reorganized and simplified table viewing: introduced SimpleColumn, unified openTable flows into a Chrometto plugin for maintainability, and improved handling of complex types. Android logs integration added android_logs table to the SQL prelude to make Android logcat entries queryable in trace processor. Across stdlib, tp, ui, and prelude, these changes deliver stronger cross-module compatibility, clearer schemas, and more maintainable code paths, positioning the project for faster iteration and better data analysis capabilities for customers.
10 Commits • 3 Features
Dec 1, 2024December 2024: Core reliability and usability enhancements across Perfetto's codebase. Key outcomes include stabilizing module interoperability by removing problematic compile-time JOINID validation and enabling runtime/type validation for SQL objects, improving reliability when loading external modules (e.g., Chrometto, google3). Introduced and standardized core SQL types (ARGSETID, ID(table.column)) and enhanced metadata for docs/JSON outputs to improve schema clarity and integration. UI improvements reorganized and simplified table viewing: introduced SimpleColumn, unified openTable flows into a Chrometto plugin for maintainability, and improved handling of complex types. Android logs integration added android_logs table to the SQL prelude to make Android logcat entries queryable in trace processor. Across stdlib, tp, ui, and prelude, these changes deliver stronger cross-module compatibility, clearer schemas, and more maintainable code paths, positioning the project for faster iteration and better data analysis capabilities for customers.
December 2024
November 2024
19 Commits • 5 Features
Nov 1, 2024November 2024 (2024-11) for google/perfetto: Focused on expanding SQL capabilities, improving stability, and boosting observability and developer productivity. Delivered new SQL data types and a robust type system, added a dedicated scheduling latency analysis module, and prototype UI integration for stdlib data. Cleaned up SQL exposure/docs, restored compatibility by reinstating the common library, and improved testing tooling with a quiet mode to reduce CI noise. Business value includes richer data modeling, quicker bottleneck identification, safer data exposure, and smoother developer workflows.
November 2024
19 Commits • 5 Features
Nov 1, 2024November 2024 (2024-11) for google/perfetto: Focused on expanding SQL capabilities, improving stability, and boosting observability and developer productivity. Delivered new SQL data types and a robust type system, added a dedicated scheduling latency analysis module, and prototype UI integration for stdlib data. Cleaned up SQL exposure/docs, restored compatibility by reinstating the common library, and improved testing tooling with a quiet mode to reduce CI noise. Business value includes richer data modeling, quicker bottleneck identification, safer data exposure, and smoother developer workflows.
October 2024
5 Commits • 3 Features
Oct 1, 2024Month 2024-10 focused on delivering user-visible UI capabilities, backend schema improvements, and documentation standardization for google/perfetto. Key features delivered improve trace exploration and data integrity; backend modernization reduces maintenance costs and enables more robust processing; documentation standardization enables easier downstream tooling and parsing.
5 Commits • 3 Features
Oct 1, 2024Month 2024-10 focused on delivering user-visible UI capabilities, backend schema improvements, and documentation standardization for google/perfetto. Key features delivered improve trace exploration and data integrity; backend modernization reduces maintenance costs and enables more robust processing; documentation standardization enables easier downstream tooling and parsing.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness94.2%
Maintainability86.2%
Architecture88.2%
Performance84.2%
AI Usage26.2%
Skills & Technologies
Programming Languages
BPC++CSSGNHTMLJSONJavaJavaScriptMarkdownProto
Technical Skills
API DesignAPI DevelopmentAPI designAPI developmentAlgorithm OptimizationBackend DevelopmentBug FixBug FixingBuild SystemBuild System ConfigurationBuild System ManagementC++C++ DevelopmentC++ developmentCSS
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline