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