- Designed and implemented a golang microservice pipeline to deliver push notificationa at a scale of 18M RPM.- Developed a solution to aggregate campaign-level metrics and power a metrics dashboard.- Identified gaps in android token base and implemented token management system to monitor, sync token base and provide data-driven analytics.- Wrote 20+ python scripts based on key business performance indicators to raise proactive alerts resulting in zero revenue loss by system failures.

- Developed a spring-boot micro-service to optimize campaign/notification creation, scheduling and management processes, resulting in a 30 percent reduction in effort.- Implemented a scalable solution to retrieve failed notifications on a device as missed notifications at 240K RPM, resulting in 20 percent increase in CTRs.

The aim of the project was to predict the air quality index using image recognition. Proposed a learning-based architecture to measure PM 2.5 and PM 10 levels.