SAI BHARADWAJ ADEPU

Built and maintained a shared Java/Spring Boot backend for an enterprise DMS serving web (Next.js/React.js) and mobile (Flutter/Dart) clients. Developed REST APIs, business logic, and JPA-based entity/data models, and delivered DMS features such as metadata management, scheduling, lifecycle operations, multithreaded processing, and performance optimizations. Led migration of core DMS modules from web to Flutter while ensuring feature parity with existing backend services. Implemented CI/CD pipelines using SVN, Jenkins, Docker, Docker Compose, and a private Docker registry with automated builds, deployments, health checks, and SVN post-commit triggers. Managed containerized deployments by authoring Dockerfiles, configuring Docker Compose environments, troubleshooting deployments, and setting up Nginx reverse proxy with SSL termination and load balancing. Built AI systems including a RAG assistant for repository knowledge querying and AI modules for dynamic REST API generation from datab

In this role, I develop cross-platform iOS and Android applications using Flutter with a Java backend. I implement an offline-first architecture and ensure mobile development best practices.

Built a full-stack AI chatbot using Rasa, Java Spring Boot, and ReactJS for an enterprise LIMS product. Containerized microservices with Docker to improve deployment efficiency and scalability. Engineered an offline-first Android app with PostgreSQL sync and collaborated with the R&D team on scalable architecture and automated workflows.