de-id/agents-sdk
Mar 2026 – Mar 2026
1 Month active
Languages Used
TypeScript
Technical Skills
TypeScriptanalyticsfull stack developmentstreaming technologytestingvideo streaming
omrizitrin-did
PROFILE
Omrizitrin-did
Worked on the de-id/agents-sdk repository to enhance analytics and instrumentation for streaming technology, focusing on improving end-to-end latency visibility. Developed new audio detection latency metrics and introduced a networkLatency metric to agent-video analytics, enabling more granular performance tracking and supporting proactive optimization of user experience. Leveraged TypeScript and full stack development skills to implement these telemetry improvements, which provide actionable insights for both product and engineering teams. The work established a robust foundation for data-driven optimization and faster issue diagnosis, with a strong emphasis on testing and video streaming analytics to support ongoing product reliability and performance enhancements.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
306
Activity Months1
Your Network
23 peopleSame Organization
@deidentification.co9
Shared Repositories
14
Work History
March 2026
2 Commits • 1 Features
Mar 1, 2026In 2026-03, delivered instrumentation and analytics improvements for de-id/agents-sdk, focusing on end-to-end latency visibility to enable proactive performance optimization and improved user experience. Implemented audio-detection latency metrics and added a networkLatency metric for agent-video analytics, providing actionable signals for product and engineering teams. This work establishes a foundation for data-driven optimization and faster issue diagnosis through enhanced telemetry and traceability.
2 Commits • 1 Features
Mar 1, 2026In 2026-03, delivered instrumentation and analytics improvements for de-id/agents-sdk, focusing on end-to-end latency visibility to enable proactive performance optimization and improved user experience. Implemented audio-detection latency metrics and added a networkLatency metric for agent-video analytics, providing actionable signals for product and engineering teams. This work establishes a foundation for data-driven optimization and faster issue diagnosis through enhanced telemetry and traceability.
March 2026
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
TypeScript
Technical Skills
TypeScriptanalyticsfull stack developmentstreaming technologytestingvideo streaming
Repositories Contributed To
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