Mounika Shatharaju

About Mounika Shatharaju

AI/ML Engineer with 5+ years of experience building production-grade machine learning…

Experience

1. Senior Java Full Stack Developer

   Citibank

   Nov 2023 — Present · NY, US

   Designed, developed, and maintained Spring Boot microservices (Java 16/17, JPA/Hibernate, JDBC) for secure and scalable financial transaction processing.• Created RESTful APIs and implemented GraphQL for flexible and efficient data querying.• Developed ReactJS front-end components integrated with microservices for a responsive user experience.• Implemented JSP, JSTL, and Handlebars.js for dynamic server-side rendering.• Established CI/CD pipelines with Maven, Jenkins, and Docker, integrating SonarQube for code quality checks.• Deployed and managed applications on AWS (EC2, ECS, S3, RDS) and orchestrated containers with Kubernetes.• Configured Apache Kafka for real-time fraud detection and streaming of suspicious transactions to monitoring dashboards.• Utilized AWS Lambda and Lambda Layers for event-driven architectures and shared code reuse.• Managed MongoDB (via Compass) for NoSQL storage and AWS RDS for relational data, optimizing performance and scalability.• Implemented OAuth 2.0 for secure authentication and role-based access control, ensuring compliance with financial security standards.• Performed automated testing with JUnit, Mockito, Cypress, Jasmine, and Karma following TDD best practices.• Used Postman and SOAP UI for API testing, validation, and integration verification.• Leveraged Docker for containerization and Kubernetes rolling updates for zero-downtime deployments.• Integrated Log4j for centralized logging and Linux environments for deployment compatibility.• Coordinated Agile development using Jira and Asana, participating in sprint planning, code reviews, and daily scrums.• Implemented Node.js, PHP, and Scala components when required for cross-technology interoperability.• Ensured WebLogic and Apache Tomcat deployments were optimized for performance and security.• Delivered measurable improvements in fraud detection speed, system uptime, and release cycle efficiency.