Worked on a clinical software system that enables doctors and clinicians to view live fetal waveforms and act in a data-driven manner. Experience in the entire project lifecycle working on distributed systems with streaming applications of 1.2 Mil data points per minute (windowing, and batching), using various replicated data stores - Key-value (Redis), NoSQL (SyllaDB), Relational (MySQL). Experience in building and standardizing build pipelines for all teams in the org.
•Developed end-to-end streaming application to view past and live fetal waveform data using Angular, Spring Boot, web sockets, Kafka, and Redis
•Improved microservice deployment time in Kubernetes by 60% by revamping build and deployment plans
•Designed modular and configurable UI libraries in Angular with theme and i18n leveraged across GE globally
•Built distributed load generation framework for running reliability and load tests on service components