• Architected mortgage loan origination and underwriting services using Java 17, Spring Boot, Spring Cloud, RESTful APIs, enabling straight-through processing for borrower applications and reducing underwriting turnaround time by 32%.

• Developed regulatory-compliant authorization workflows with Spring Security, OAuth 2.0, JWT, role-based access control, strengthening audit readiness and safeguarding sensitive borrower, credit, and property data.

• Built reactive and modular user interfaces using Angular 15+, TypeScript, RxJS, NgRx, improving loan officer productivity and accelerating application review workflows by 28%.

• Implemented asynchronous mortgage event processing with Apache Kafka and message-driven consumers, enabling near real-time propagation of loan status, payment, and delinquency events across downstream risk systems.

• Optimized large-scale mortgage portfolio data handling using Hibernate/JPA, PostgreSQL, query tuning, batch processing, supporting high-volume loan analytics while reducing reporting execution time by 40%.

• Deployed and monitored cloud-native applications using Docker, Kubernetes, AWS, CI/CD pipelines, automated testing, improving release reliability and ensuring consistent performance during peak mortgage origination cycles.

• Engineered scalable insurance policy and claims microservices using Java 11, Spring Boot, Spring MVC, REST APIs, Hibernate/JPA, reducing manual claim processing effort by 40% and accelerating settlement timelines across high-volume insurance workflows.

• Implemented secure authentication and authorization layers with Spring Security, OAuth 2.0, JWT, RBAC, ensuring regulatory compliance and protecting sensitive financial and policyholder data for 50K+ concurrent users.

• Designed an event-driven underwriting and risk evaluation pipeline leveraging Apache Kafka, Redis, Spring Cloud, enabling real-time credit risk assessment and improving underwriting decision accuracy by 30%.

• Developed responsive financial dashboards using React.js, TypeScript, Redux, Chart.js, delivering real-time visibility into policy status, claims history, and premium utilization, leading to 25% higher customer engagement.

• Optimized relational data models and queries with PostgreSQL/MySQL, indexing, transaction management, cutting API response latency by 35% while supporting high-throughput financial transactions.

• Containerized and deployed full-stack applications using Docker, Kubernetes, AWS EC2, improving release stability and enabling horizontal scaling during peak insurance enrollment and renewal cycles.

• Automated CI/CD workflows with Jenkins, Maven, Git, unit and integration testing, reducing deployment failures by 45% and ensuring faster, audit-ready releases for enterprise finance platforms.