
Sanath worked on the google/perfetto repository, focusing on enhancing Android JobScheduler observability and privacy-preserving analytics. Over two months, he developed a protocol buffer extension that captures detailed JobScheduler event data, including job ID, state, priority, and timing, and integrated it with AndroidTrackEvent to support richer trace analysis. He further improved privacy by implementing job name interning, adding a dedicated field to the proto and updating C++ headers to enable deduplicated, PII-filtered analytics. Using C++, Protocol Buffers, and Android internals, Sanath’s work addressed both system-level traceability and privacy requirements, demonstrating depth in protocol design and cross-component integration.
March 2026 focused on privacy-preserving analytics improvements in Perfetto. Delivered PII Filtering Enhancement: Interning JobScheduler Track Event Names for Android by introducing interning of job names and adding a dedicated field to the proto and headers. This enables deduplicated, privacy-safe tracking data while preserving compatibility with existing consumers.
March 2026 focused on privacy-preserving analytics improvements in Perfetto. Delivered PII Filtering Enhancement: Interning JobScheduler Track Event Names for Android by introducing interning of job names and adding a dedicated field to the proto and headers. This enables deduplicated, privacy-safe tracking data while preserving compatibility with existing consumers.
September 2025 monthly summary for google/perfetto: Delivered a new Android JobScheduler tracing extension to enrich observability of scheduling events. Implemented the AndroidJobSchedulerJob proto to capture job_id, state, priority, and timing, and integrated it as an extension to AndroidTrackEvent, enabling richer, more actionable traces for Android JobScheduler analysis. This work enhances debugging efficiency and supports data-driven performance optimizations across devices.
September 2025 monthly summary for google/perfetto: Delivered a new Android JobScheduler tracing extension to enrich observability of scheduling events. Implemented the AndroidJobSchedulerJob proto to capture job_id, state, priority, and timing, and integrated it as an extension to AndroidTrackEvent, enabling richer, more actionable traces for Android JobScheduler analysis. This work enhances debugging efficiency and supports data-driven performance optimizations across devices.

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