Anusha Manukonda

Architected end-to-end Java/Spring Boot microservices on AWS for a multi-tenant Camunda BPM platform; migrated legacy workflows to Camunda BPMN; designed AI/ML-driven healthcare solutions; implemented custom Camunda connectors and Zeebe workers; built a React frontend dashboard; ensured HIPAA compliance and secure data exchange; integrated with analytics in BigQuery for real-time insights.

Architected end-to-end Java/Spring Boot microservices-based platform on AWS, migrated legacy workflows to Camunda 8 BPMN with custom connectors, and designed a six-step operational process for Leidos QTC Federal clients. Led Camunda-based BPM with Java 17, implemented AI/ML-driven automation for medical documentation, claims summarization, and denial explanations, and built a multi-tenant, Kubernetes-based deployment with API Gateway routing and RBAC. Integrated HIPAA-compliant data exchanges using OAuth 2.0. Demonstrated strong collaboration with product owners and stakeholders to translate business needs into scalable architectures.

Architected full-stack healthcare application with TypeScript/Node.js/React; migrated batch claims processing to Kafka streams; implemented backend microservices with Java/Spring Boot; deployed on GKE; enabled Copilot-assisted workflows; API gateway and OAuth/JWT security; built event-driven architecture with Kafka for claims and medical workflows; designed API gateway with Spring Cloud Gateway; integrated ML models for claims auto-adjudication.