Ajitha G

Built and tuned microservices using Java 17, Spring Boot, Spring Cloud, and Hibernate, including breaking monoliths into services to improve release speed and scalability. Developed responsive enterprise UIs with Angular 19, TypeScript, HTML/CSS, and JavaScript, focusing on usability and consistent UX. Implemented GraphQL APIs behind AWS API Gateway to reduce redundant calls and improve efficiency. Designed RAG pipelines using vector databases and embedding models, leveraging Spring AI for prompt engineering and secure AI workflow integrations. Set up AWS infrastructure with EC2, Lambda, S3, DynamoDB, IAM, and CloudFormation, and containerized applications with Docker on AWS ECS. Automated CI/CD with Jenkins and AWS services (CodePipeline/CodeDeploy), improved reliability through monitoring with CloudWatch and Elasticsearch, and executed performance testing with JMeter and Load Runner. Secured services using OAuth2 and Spring Security, and used Kafka for event-driven asynchronous proce

Built and tuned microservices using Java 17, Spring Boot, Spring Cloud, and Hibernate, and helped move from monolithic systems toward services for faster releases and easier scaling. Developed responsive enterprise UIs with Angular 19 and TypeScript, focusing on consistent usability and maintainability. Implemented GraphQL APIs and improved frontend-backend efficiency, and delivered RAG pipelines using vector databases and embedding models with Spring AI and prompt engineering for context-aware responses. Set up AWS infrastructure (EC2, Lambda, S3, DynamoDB, IAM, CloudFormation) and deployed containerized services on ECS. Automated CI/CD with Jenkins and AWS deployment services to reduce manual work, and secured services using OAuth2 and Spring Security. Built for reliability under heavy traffic using event-driven messaging with Kafka, monitored with CloudWatch/Elastic, and reduced production defects with JUnit/Mockito plus performance testing using JMeter.

Built healthcare-focused RESTful microservices with Spring Boot with an emphasis on scalability and secure exchange of patient and provider data. Developed single-page applications using ReactJS, Redux, and React Router, and also supported React Native to keep the experience fast and engaging. Improved performance through lazy loading and code splitting, and managed async state cleanly using Redux Thunk. Built reusable NodeJS backend services and connected them with Spring Boot microservices. Added GraphQL APIs to allow the frontend to request only the data it needed, reducing over-fetching. Designed MongoDB schemas and tuned queries for responsiveness at scale, securing the application with OAuth and Spring Security. Used AWS Lambda for serverless processing and S3 for secure media storage, along with CloudWatch monitoring and alerts. Maintained Jenkins CI/CD pipelines and wrote JUnit tests to catch regressions before releases reached users.