google/perfetto
Jun 2026 – Jun 2026
1 Month active
Languages Used
SQLTypeScript
Technical Skills
Database ManagementSQLSQL queryingTypeScriptbackend developmentdatabase management
Jernej Virag
PROFILE
Jernej Virag
Worked on the google/perfetto repository to enhance the accuracy and reliability of Android performance metrics. Developed a new SQL-based feature that calculates missed frames for Android Jank CUJs by aggregating data from the frame timeline, improving the fidelity of jank analysis. Addressed a bug in the performance analytics workflow by correcting the layers table name in SQL queries, ensuring precise data retrieval for backend reporting. Leveraged skills in SQL, TypeScript, and database management to reduce data gaps and improve metric integrity, enabling developers and product teams to access more actionable insights and make better-informed decisions based on reliable analytics.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
1
Lines of code
27
Activity Months1
Your Network
5214 peopleSame Organization
@google.com4953
Benedict OdaiMember
Craig IngramMember
KayyuriMember
Scott SuarezMember
Agent2Agent (A2A) BotMember
Andreas AbelMember
Aadi KapurMember
Aadish GoelMember
Aahil MehtaMember
Shared Repositories
261
Work History
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 for google/perfetto focused on strengthening accuracy and reliability of performance metrics. Key changes include missed-frames calculation for Android Jank CUJs derived from the frame timeline, and a fix to the layers table name in the performance analytics SQL to ensure correct data retrieval. These improvements reduce data gaps, improve metric fidelity, and provide more actionable insights for developers and product teams.
2 Commits • 1 Features
Jun 1, 2026June 2026 for google/perfetto focused on strengthening accuracy and reliability of performance metrics. Key changes include missed-frames calculation for Android Jank CUJs derived from the frame timeline, and a fix to the layers table name in the performance analytics SQL to ensure correct data retrieval. These improvements reduce data gaps, improve metric fidelity, and provide more actionable insights for developers and product teams.
June 2026
Activity
Loading activity data...
Quality Metrics
Correctness100.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
SQLTypeScript
Technical Skills
Database ManagementSQLSQL queryingTypeScriptbackend developmentdatabase management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline