◦ Engineered distributed systems in Java for payment screening and authorization at scale using event-driven architecture, resulting in 85% reduction in processing time and scaling the platform to handle 10x volume.

◦ Designed a method for key-based data reprocessing in Kafka Streams, cutting processing time from hours to seconds with no service disruption and enhanced operational efficiency.

◦ Developed centralized features flags in SpringBoot integrated with UI and CLI, for live feature toggling across microservices, which helped to prevent production outages and enabled phased deployments with reduced risk.

◦ Revamped payment screening dashboard by resolving performance bottlenecks and improved user experience, achieving 98% reduction in page load time, 90% reduction in compute load, and 100% user adoption.

◦ Implemented real-time notifications for configuration rule updates in the automatic payment release system using pub/sub cache and websockets to simplify manual processes for operations users.

◦ Mentored six interns over two hiring seasons in developing outage monitoring dashboards, guiding them from requirements gathering to successful production deployment.

◦ Played a pivotal role in establishing one of the first self-managed Kafka clusters in Production for Morgan Stanley, developing monitoring and cluster management tools and fine-tuning cluster configurations.

◦ Built a centralized data source for Account Balances aggregated from SWIFT MT messages, secured users’ trust through reconciliations and disaster recovery scenario tests in collaboration with the production team.

◦ Created reusable Angular components and core libraries for improved developer experience and standardization by adopting Microfrontend architecture for nearly 15 teams in the Cash Management and Treasury division.

◦ Developed a Data-warehouse ingestion framework, segregating data sources into microservice pipelines.

◦ Implemented a socialization module by integrating Facebook APIs and developing features for interaction like making friends and ordering gifts using Python, Flask, Vue.js, Celery, AWS EC2.