
Ilko Kosharov contributed to the google/perfetto repository by building and refining features for memory profiling, trace analysis, and performance diagnostics. He developed SQL modules and protocol buffer enhancements to improve trace attribution, heap profiling, and symbolization workflows, enabling more granular and accurate analysis of Android system events. Using Python, SQL, and TypeScript, Ilko implemented backend and frontend changes that improved data ingestion, visualization, and debugging efficiency. His work included modularizing event processing, updating schema designs, and enhancing UI components for memory analysis. These contributions addressed complex data quality and maintainability challenges, resulting in more reliable and actionable performance metrics.
Monthly work summary for 2026-03 focusing on delivering key features and stabilizing performance metrics in google/perfetto. Highlights: Delivered App ID Resolution Across Android Package Types by adding a new SQL function in stdlib and package resolution layer to correctly resolve app IDs across SDK sandbox and PCC uid ranges, improving compatibility and correctness of app_id identification; Enhanced Bitmap Heap Dump Protocol by introducing Bitmap ID, source ID, width, and height fields to the heap dump proto, enabling precise memory usage tracking and easier debugging of leaks. Fixed critical issues associated with app_id resolution and memory profiling (Bug 489086750; 493745993; 485861030). Impact: Improved cross-package identity accuracy reduces downstream telemetry mismatches; better memory profiling supports faster leak fixes and memory usage optimizations; changes are maintainable and aligned with stdlib architecture. Accomplishments: Consolidated changes within Perfetto's architecture, improving maintainability by centralizing resolution logic and extending the heap dump protocol to support detailed Bitmap analytics.
Monthly work summary for 2026-03 focusing on delivering key features and stabilizing performance metrics in google/perfetto. Highlights: Delivered App ID Resolution Across Android Package Types by adding a new SQL function in stdlib and package resolution layer to correctly resolve app IDs across SDK sandbox and PCC uid ranges, improving compatibility and correctness of app_id identification; Enhanced Bitmap Heap Dump Protocol by introducing Bitmap ID, source ID, width, and height fields to the heap dump proto, enabling precise memory usage tracking and easier debugging of leaks. Fixed critical issues associated with app_id resolution and memory profiling (Bug 489086750; 493745993; 485861030). Impact: Improved cross-package identity accuracy reduces downstream telemetry mismatches; better memory profiling supports faster leak fixes and memory usage optimizations; changes are maintainable and aligned with stdlib architecture. Accomplishments: Consolidated changes within Perfetto's architecture, improving maintainability by centralizing resolution logic and extending the heap dump protocol to support detailed Bitmap analytics.
February 2026: Delivered Heap Profiling UX/Visualization Improvements for google/perfetto, including separation of memory profile types into distinct tracks, time-slice snapshots, and area-based multi-select. Fixed crash-prone state management and excluded negative allocation data points to improve stability and data accuracy. Impact: enhanced cross-allocator analysis, faster root-cause for memory issues, and more reliable heap profiling across allocators. Technologies/skills demonstrated: UI/UX enhancements, HeapProfile plugin refactor, time-slice visualization, and robust state management.
February 2026: Delivered Heap Profiling UX/Visualization Improvements for google/perfetto, including separation of memory profile types into distinct tracks, time-slice snapshots, and area-based multi-select. Fixed crash-prone state management and excluded negative allocation data points to improve stability and data accuracy. Impact: enhanced cross-allocator analysis, faster root-cause for memory issues, and more reliable heap profiling across allocators. Technologies/skills demonstrated: UI/UX enhancements, HeapProfile plugin refactor, time-slice visualization, and robust state management.
December 2025: Two major capabilities delivered in google/perfetto to enhance memory profiling and trace symbolization. A new stdlib-based heap_graph_stats module with DMABUF metrics and an overall metric rebases, plus a symbolization workflow via a SQL module that binds symbolization candidates to processes, enabling faster and more accurate stack traces for performance analysis.
December 2025: Two major capabilities delivered in google/perfetto to enhance memory profiling and trace symbolization. A new stdlib-based heap_graph_stats module with DMABUF metrics and an overall metric rebases, plus a symbolization workflow via a SQL module that binds symbolization candidates to processes, enabling faster and more accurate stack traces for performance analysis.
November 2025 (google/perfetto) monthly summary: Delivered targeted cleanup of legacy task metadata artifacts and migrated task tracking to process metadata to improve compatibility and maintainability. No critical bug fixes this month; primary focus was reducing technical debt by removing obsolete proto and SQL files. Impact: simplified data model, reduced maintenance burden, and clearer path for future enhancements. Key technologies: proto/SQL cleanup, metadata-driven design, version control discipline, and repository hygiene.
November 2025 (google/perfetto) monthly summary: Delivered targeted cleanup of legacy task metadata artifacts and migrated task tracking to process metadata to improve compatibility and maintainability. No critical bug fixes this month; primary focus was reducing technical debt by removing obsolete proto and SQL files. Impact: simplified data model, reduced maintenance burden, and clearer path for future enhancements. Key technologies: proto/SQL cleanup, metadata-driven design, version control discipline, and repository hygiene.
Sep 2025 performance summary: Delivered Android OutOfMemoryError documentation in google/perfetto, including a command-line heap-dump capture snippet and cross-links from the memory case study and table of contents. Implemented via commit 4acf7a1dd14f826e1141a075f889f76857c95c31 (#2924). No major bugs fixed this month based on available data; the focus was on documentation quality, onboarding, and developer tooling for memory diagnostics. Impact: enables faster OOM diagnosis on Android and improves documentation discoverability and consistency across Perfetto docs. Technologies/skills demonstrated: documentation authoring, Android memory management concepts, practical snippet creation, cross-linking, and Git-based collaboration.
Sep 2025 performance summary: Delivered Android OutOfMemoryError documentation in google/perfetto, including a command-line heap-dump capture snippet and cross-links from the memory case study and table of contents. Implemented via commit 4acf7a1dd14f826e1141a075f889f76857c95c31 (#2924). No major bugs fixed this month based on available data; the focus was on documentation quality, onboarding, and developer tooling for memory diagnostics. Impact: enables faster OOM diagnosis on Android and improves documentation discoverability and consistency across Perfetto docs. Technologies/skills demonstrated: documentation authoring, Android memory management concepts, practical snippet creation, cross-linking, and Git-based collaboration.
May 2025 monthly summary for google/perfetto focusing on memory-dump flame-graph analysis enhancements. Implemented enhanced flame graph filtering by unaggregated properties, enabling precise exclusion of boot/zygote classes. Changes included updates to SQL helpers and TypeScript components to support new filtering criteria, tied to commit 9ed04b27e1fea75d6b55c1122e92eaf97d3bc0ce (Linked to issue #1500).
May 2025 monthly summary for google/perfetto focusing on memory-dump flame-graph analysis enhancements. Implemented enhanced flame graph filtering by unaggregated properties, enabling precise exclusion of boot/zygote classes. Changes included updates to SQL helpers and TypeScript components to support new filtering criteria, tied to commit 9ed04b27e1fea75d6b55c1122e92eaf97d3bc0ce (Linked to issue #1500).
April 2025 monthly summary for google/perfetto: Delivered a new LMK Events SQL Module for Android and fixed a critical Dma-buf slice tracking bug, driving improved memory event parsing, data association, and analytics readiness. The changes advance modularization, standardize LMK event handling in a dedicated SQL module, and reduce reliance on legacy trace-processor paths, enabling more reliable analytics and easier maintenance.
April 2025 monthly summary for google/perfetto: Delivered a new LMK Events SQL Module for Android and fixed a critical Dma-buf slice tracking bug, driving improved memory event parsing, data association, and analytics readiness. The changes advance modularization, standardize LMK event handling in a dedicated SQL module, and reduce reliance on legacy trace-processor paths, enabling more reliable analytics and easier maintenance.
March 2025 — Perfetto: Enhanced startup analysis data quality by filtering startup slices to exclude zero or incomplete durations, and by discarding unfinished slices to prevent skewed startup metrics. This improves reliability of startup performance profiling and informs optimization priorities across the google/perfetto repository.
March 2025 — Perfetto: Enhanced startup analysis data quality by filtering startup slices to exclude zero or incomplete durations, and by discarding unfinished slices to prevent skewed startup metrics. This improves reliability of startup performance profiling and informs optimization priorities across the google/perfetto repository.
February 2025 — Delivered end-to-end enhancements to improve trace attribution and heap profiling in Perfetto. Implemented Android User ID attribution for Process Metadata and introduced enhanced Shared Memory Buffer options with a new default, plus a stability-focused SMB selector fix. These changes enable attribution of traces to specific Android users, improve granularity of performance and diagnostic metrics, and provide more robust, performance-oriented heap profiling. Demonstrated end-to-end changes across proto, descriptor, SQL views, and profiling tooling, reinforcing business value by enabling deeper insights and faster issue resolution.
February 2025 — Delivered end-to-end enhancements to improve trace attribution and heap profiling in Perfetto. Implemented Android User ID attribution for Process Metadata and introduced enhanced Shared Memory Buffer options with a new default, plus a stability-focused SMB selector fix. These changes enable attribution of traces to specific Android users, improve granularity of performance and diagnostic metrics, and provide more robust, performance-oriented heap profiling. Demonstrated end-to-end changes across proto, descriptor, SQL views, and profiling tooling, reinforcing business value by enabling deeper insights and faster issue resolution.
January 2025 (2025-01) performance summary for google/perfetto: Key feature delivered: Heap Type Support in Trace Processor and Flamegraph Visualization, enabling ingestion and tracking of heap type information for trace objects. This work extended HeapGraphModule and HeapGraphTracker to parse and store heap type data, updated the table schema and tests, and extended the Java flamegraph visualization to include heap type in SQL queries/hashes and the UI for granular memory analysis across different heap types. Major bugs fixed: None reported this month. Overall impact: Improves memory profiling accuracy and debugging efficiency by enabling heap-type-specific analysis, contributing to faster issue resolution and more targeted optimizations. Technologies/skills demonstrated: trace processor development, heap graph architecture, schema migrations, unit/integration tests, Java flamegraphs, SQL extensions, and UI updates.
January 2025 (2025-01) performance summary for google/perfetto: Key feature delivered: Heap Type Support in Trace Processor and Flamegraph Visualization, enabling ingestion and tracking of heap type information for trace objects. This work extended HeapGraphModule and HeapGraphTracker to parse and store heap type data, updated the table schema and tests, and extended the Java flamegraph visualization to include heap type in SQL queries/hashes and the UI for granular memory analysis across different heap types. Major bugs fixed: None reported this month. Overall impact: Improves memory profiling accuracy and debugging efficiency by enabling heap-type-specific analysis, contributing to faster issue resolution and more targeted optimizations. Technologies/skills demonstrated: trace processor development, heap graph architecture, schema migrations, unit/integration tests, Java flamegraphs, SQL extensions, and UI updates.
Month: November 2024 — Focused on increasing reliability of startup performance metrics in google/perfetto by refining startup metric calculation and filtering out non-startup events. Delivered a targeted code change that excludes 'completed-same-process' events, ensuring metrics reflect genuine application launches and improving the reliability of startup performance analysis. This work reduces noise in startup dashboards and informs better optimization decisions. Commit reference included below for traceability: 11fe38f78dc69fb4b0777da8908a85bdeedfce72.
Month: November 2024 — Focused on increasing reliability of startup performance metrics in google/perfetto by refining startup metric calculation and filtering out non-startup events. Delivered a targeted code change that excludes 'completed-same-process' events, ensuring metrics reflect genuine application launches and improving the reliability of startup performance analysis. This work reduces noise in startup dashboards and informs better optimization decisions. Commit reference included below for traceability: 11fe38f78dc69fb4b0777da8908a85bdeedfce72.

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