Sandhya Gandra

• Built Java-based microservices with Spring Boot, Hibernate, and RESTful APIs. • Automated data extraction using Jsoup and AWS Lambda, storing results in S3. • Secured applications using Spring Security. • Established CI/CD with Maven, Jenkins, AWS CodePipeline & CodeBuild. • Collaborated in Agile teams and followed SOLID/design principles for maintainable code.

 Migrated desktop application to cloud-native microservices architecture using Java 11, Spring Boot, Spring Cloud (Eureka, Zuul, Config Server), and Hibernate (JPA), improving runtime efficiency by 26% and enhancing system scalability.  Designed and developed high-performance RESTful APIs leveraging asynchronous processing and Redis caching, achieving a 30% improvement in response time and 95% fulfillment of business requirements.  Architected microservices infrastructure for service discovery, centralized configuration, and intelligent routing using Spring Cloud Netflix components, boosting fault tolerance and deployment flexibility.  Containerized microservices with Docker and managed orchestration, scaling, and zero-downtime deployments using Kubernetes in cloud environments.  Provisioned and maintained scalable, secure AWS infrastructure using EC2, S3, RDS, and implemented monitoring with CloudWatch for enhanced system reliability.  Integrated Generative AI capabilities by incorporating OpenAI GPT APIs and custom Transformer models for intelligent content generation and conversational AI features, enhancing user engagement and automation.  Implemented MLOps pipelines for GenAI model deployment using Docker, Kubernetes, and AWS SageMaker, ensuring seamless integration and continuous delivery of AI models in production.  Developed and maintained robust unit and integration test suites using JUnit 5, Mockito, and Spring Test, achieving 90%+ code coverage and reducing production defects through TDD practices.