PRUDHVEERAJ BOTTA

Implemented RESTful APIs for data processing, enabling seamless handling of HTTP requests and reducing response latency by 40% through pagination and caching (Spring Cache). Configured and integrated MySQL with Spring Data JPA and transaction management to ensure data integrity across multi-step operations. Leveraged Spring AOP to modularize cross-cutting concerns such as logging, transaction handling, and performance monitoring, improving maintainability and scalability. Incorporated Log4j for centralized and configurable application logging, enhancing debugging efficiency and observability. Improved data accuracy by 35% through comprehensive unit testing (JUnit) and integration testing of critical data access layers.

Developed a scalable RESTful API using FastAPI with JWT authentication and RBAC, integrating PostgreSQL via SQLAlchemy ORM for efficient data modeling and access. Optimized performance with asynchronous operations, reducing latency by 30%, and ensured reliability with 90%+ test coverage using pytest and httpx. Deployed the application to AWS EC2 and RDS, configuring production-ready infrastructure including environment variables, security groups, and startup automation.

Built a machine learning-based placement algorithm, optimizing student distribution across testing centers, which reduced cheating incidents by 30% and improved exam security. Engineered a predictive model using clustering and optimization techniques, achieving an 18% reduction in logistical costs by automating seating arrangement and proctor assignments. Leveraged AI to create seating strategies, balancing exam integrity and resource allocation, resulting in a 25% increase in overall exam efficiency.