Meghana Ankam

Owned and delivered end-to-end buyer/seller screening workflows for Compliance, building Java, Spring Boot microservices with clean layered architecture, validation, and fault-tolerant processing for customer-facing decisions. Integrated LLM capabilities via eBay’s Chomsky library to connect with ChatGPT-based models for intelligent document processing. Developed Python-based validation pipelines to verify extracted bank statement attributes including bank logos, account holder names, and structured financial data. Established a lightweight AI/ML model upgrade + rollout workflow, coordinating schema/data dependencies (incl. DB changes) and improving model accuracy to 80%, while outputs remained traceable for compliance. Designed service-to-service integrations using Spring Framework with Feign Client, enabling orchestration with upstream risk/compliance systems and improving turnaround time for screening outcomes. Built and maintained REST APIs and GraphQL integrations to fetch and e

Implemented server-side components with JSP/JSTL and Spring-based layers; delivered GraphQL APIs for efficient data access and improved response times. Wrote unit/integration tests (JUnit/Jest) for backend and React frontend components. Integrated Kafka-based microservices for asynchronous communication, reducing latency. Contributed to a microservices architecture with Maven/Gradle builds and DevOps pipelines (Jenkins, Docker, Kubernetes).

Streamlined data collection across applications, implementing server-side components with JSP/JSTL and Spring Boot, Spring Security, and Spring MVC to ensure scalability and security. Implemented GraphQL APIs with queries and mutations, reducing API response times and improving data fetching performance. Wrote unit and integration tests with JUnit and Jest. Integrated Kafka-based microservices for event-driven communication and led asynchronous workflow initiatives. Proficient in Maven/Gradle for builds and a CI/CD pipeline using Jenkins, Docker, and Kubernetes.