Akshaya Rakonda

Spearheaded the modernization of legacy healthcare systems into Spring Boot microservices, addressing scalability bottlenecks and achieving a 30% improvement in production reliability. Engineered highly available REST APIs with horizontal scaling, circuit breaking, and graceful degradation to support HIPAA-compliant patient data workflows across services. Led frontend architecture for patient-facing dashboards by building reusable React component libraries, increasing component reuse and cutting UI delivery timelines. Implemented secure authentication and authorization using JWT and OAuth2, strengthening access controls while maintaining performance. Designed a scalable document management solution with AWS S3, decoupling storage from application servers and reducing infrastructure load and costs by 25%. Automated CI/CD pipelines with Jenkins and Docker, speeding release cycles by 90% across 12+ production releases with safe rollback. Introduced LLM-powered tooling to automate log anal

Built Spring Boot microservices handling 100K+ high-throughput financial transactions per day with idempotent APIs and reliable workflows. Delivered responsive Angular and React components for account management and transaction flows, reducing user onboarding time and improving cross-platform usability. Optimized SQL queries, indexes, and stored procedures to eliminate data latency and contention, boosting end-to-end processing performance by 35% during peak loads. Participated in system design reviews for high-throughput transaction platforms, evaluating trade-offs around consistency, idempotency, reliability, and performance. Integrated third-party payment and notification services, increasing interoperability and reducing manual operational effort through workflow automation. Established unit and integration testing frameworks using JUnit and Mockito, achieving 95% code coverage and reducing production regressions by 30%.

Built enterprise Java applications using Spring MVC and REST APIs to support client-facing workflows handling thousands of daily transactions across distributed systems. Improved database performance by optimizing JPA mappings, query execution paths, and indexing, reducing critical response times by 30-40%. Designed and managed MySQL schemas and CRUD services, strengthening data integrity and reliability across backend platforms. Automated production deployments on AWS EC2 using Jenkins, reducing manual deployment effort by 60% and resolving 100+ production issues to cut incident recurrence by 25% and meet SLA targets. Created rule-based and ML-assisted diagnostics to classify recurring production issues, speeding up root-cause analysis and improving prioritization.