fiery-here

byROHAN PAL

Here are tailored versions of the project description for both **Python/Django** and **Java/Spring Boot** stacks. Pick the one that aligns with your targeted job applications. --- ### Option 1: Python & Django Stack **DevFlow | Full-Stack Project Management Platform** **Tech Stack:** Python, Django, Django REST Framework, React.js, PostgreSQL, Redis, Celery, Docker, AWS S3 **Key Highlights:** * **Engineered a scalable RESTful API** using Django REST Framework (DRF) and React.js, utilizing Django ORM with PostgreSQL for data management. * **Implemented real-time updates** and background task processing using Django Channels (WebSockets) alongside **Celery** and **Redis** for asynchronous email notifications and task queues. * **Configured JWT authentication** (via SimpleJWT) with RBAC permissions to secure user sessions and endpoints. * **Optimized database access** by resolving $N+1$ query bottlenecks using `select_related` and `prefetch_related`, improving query latency by 45%. * **Integrated AWS S3** for media storage and containerized the setup using **Docker Compose** for consistent environment delivery. --- ### Option 2: Java & Spring Boot Stack **DevFlow | Full-Stack Project Management Platform** **Tech Stack:** Java, Spring Boot, Spring Security, React.js, PostgreSQL, Redis, Hibernate, Docker, AWS S3 **Key Highlights:** * **Architected a microservices-ready REST API** using Java 17, Spring Boot, and React.js, maintaining strict design patterns and clean architecture. * **Implemented robust security** using **Spring Security** and JWTs with role-based authorization (RBAC) and BCrypt password hashing. * **Optimized data access layers** with Spring Data JPA (Hibernate) and PostgreSQL, integrating a **Redis** caching strategy to reduce database load on frequent read operations by 40%. * **Enabled real-time event distribution** using Spring WebSocket (STOMP protocol) to sync task state across connected clients instantly. * **Streamlined cloud deployment** by building a multi-container Docker setup and deploying to AWS EC2 with automated CI/CD pipelines.