Priyatha P.

Designed asynchronous C/C++ services for telemetry ingestion, achieving CPU utilization under burst workloads. Integrated protobuf-based data serialization to streamline inter-service communication and reduce message size. Migrated raw socket handlers into structured object-oriented classes, significantly simplifying maintenance. Engineered Python-based job schedulers to automate off-peak batch processing integrated with monitoring alerts. Automated complex backend workflows using Python, connected to external systems via REST APIs, and fine-tuned data layer performance across SQL and NoSQL databases through advanced optimization strategies like query tuning, effective indexing, and memory caching.

Delivered modular C/C++ libraries for middleware processing layers, enabling reusability across internal products. Created event-based simulators for integration testing under concurrent traffic scenarios. Developed CLI-driven utilities to support product configuration and diagnostics in staging environments. Wrote Python handlers for backend job queues, streamlining SLA tracking for nightly processes. Maintained unit and regression test coverage using Google Test and Valgrind for memory diagnostics.

Built lightweight C/C++ tools for internal logging and runtime analytics using file I/O and hash maps. Contributed to Makefile-based build flows, adding custom flags for conditional builds in CI. I participated in internal performance audits, logging memory leaks and runtime anomalies. Documented internal API behavior and proposed refactoring plans during code walkthroughs with senior devs.