Rohan Reddy Koppula

Powered Java/Spring Boot applications supporting Financial Advisor Associate onboarding, incentive eligibility, and progress tracking, contributing to a 30% reduction in onboarding turnaround. Built and enhanced React/TypeScript interfaces used by advisors to review client portfolios and compensation milestones, reducing manual status checks by 25%. Developed Java-based REST APIs with PostgreSQL and MongoDB, improving data consistency and validation across advisor and client records by 40%. Implemented authentication and authorization with Spring Security, OAuth2, and JWT to protect wealth-management data and meet compliance standards. Analyzed production issues and bottlenecks to tune service logic and DB queries, achieving a 20% improvement in API response times on high-traffic dashboards. Collaborated with product managers, business analysts, QA to translate requirements into maintainable features and participated in code reviews and CI/CD deployments.

Assisted in developing Java/Spring Boot components for internal wealth management applications, supported senior engineers with feature updates; contributed frontend tasks in React/TypeScript; implemented REST API endpoints and validated data in PostgreSQL and MongoDB; participated in code reviews and documentation.

Designed and owned Java/Spring Boot services enabling healthcare interoperability across payer, provider, and care management platforms; developed RESTful APIs to ingest, validate, and transform clinical and claims data, improving data availability for analytics by 35%. Implemented core business logic using Java, JPA/Hibernate, SQL Server, and MongoDB; ensured data accuracy via validations and audit trails. Integrated AI-driven components to flag high-risk patients, reducing manual clinical review by 25%. Contributed to GenAI-enabled features generating summarized patient histories and encounter notes, reducing clinician documentation time by about 30%. Built and enhanced Angular-based UIs for care coordinators; applied intelligent batch processing to improve nightly job stability and reduce processing failures by 40%.