Shruthi Nandakumar

Developed Java services to automate borrower eligibility, credit scoring, and income verification for mortgage processing, handling 2.2M+ applications annually with 92% processing reliability and 24% improved decision accuracy. Designed high-performance REST APIs enabling automated loan submissions and underwriting for 150+ lender systems, boosting throughput by 28% with 87% API success. Built AWS-based infrastructure for scalable underwriting services, optimized PostgreSQL data access reducing latency by 40% and increasing transaction efficiency by 25% across 12TB+ mortgage data. Implemented automated borrower document validation workflows and integrated Generative AI to generate concise underwriting summaries, raising review efficiency by 40% for 1.7M+ applications. Added Redis caching for hot data, cutting API latency by 35%. Wrote unit/integration tests with JUnit/Mockito and contributed to distributed system design to handle high-volume loan workflows.

Developed Java microservices using Spring Boot and Hibernate for account management and payments, handling 1M+ daily banking transactions. Implemented event-driven processing with Apache Kafka for real-time payment events, improving throughput by 30% and enabling reliable asynchronous communication. Optimized data access with Hibernate, SQL tuning, and indexing on PostgreSQL for high-volume workloads. Containerized services with Docker and deployed on Kubernetes, enabling automated horizontal scaling. Built CI/CD pipelines with Jenkins and Git, reducing release cycles by 35%. Implemented monitoring with Prometheus and Grafana, achieving 99.9% uptime. Strengthened API security with OAuth2/JWT and managed AWS infrastructure with Terraform, auto-scaling, and load balancing across 3M+ daily transactions.