NexShop AI Cloud Platform 🚀

An AI-powered cloud-native E-commerce platform deployed on AWS using a microservice architecture.

Overview

This project combines cloud computing, AI semantic search, Docker containerization, and scalable backend services to build a production-style E-commerce platform.

Features

• AI-powered semantic product search
• Dockerized microservices architecture
• AWS cloud deployment
• FastAPI AI service
• NestJS backend
• React frontend
• PostgreSQL + pgvector vector database
• AWS SageMaker integration
• Docker bridge networking
• Production-grade debugging and deployment

Cloud Architecture

User Browser → AWS S3 → AWS EC2 Backend → Docker Network → FastAPI AI Service → AWS SageMaker → AWS RDS PostgreSQL + pgvector

Technologies Used

Frontend

• React

Backend

• NestJS
• FastAPI

Cloud & DevOps

• AWS EC2
• AWS S3
• AWS RDS
• AWS SageMaker
• Docker
• Docker Compose
• Nginx

Database

• PostgreSQL
• pgvector

AI & ML

• HuggingFace all-MiniLM-L6-v2
• Semantic Vector Search

Key Concepts Demonstrated

• Cloud Infrastructure
• Microservices
• AI Inference Systems
• Docker Networking
• Semantic Search
• Production Deployment
• SSL/TLS Connections
• Vector Databases

Team Contribution

Developed collaboratively as part of a cloud and AI engineering team project.

My contributions included:

• AWS deployment workflow
• Docker infrastructure
• Backend integration
• Cloud networking/debugging
• System deployment and testing

Future Improvements

• CI/CD pipeline integration
• Kubernetes deployment
• Monitoring & logging
• Authentication hardening