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Full Stack Engineering Case Study

NEXTZEN
Automated Commerce.

Dockerized Backend
AWS Architecture
CI/CD Pipeline
AI Style Assistant
NEXTZEN Project Dashboard Overview

The Challenge

NextZen required more than just an online store; it needed a high-performance infrastructure capable of handling viral growth. The challenge was to move away from standard shared hosting and build a custom DevOps pipeline that handles media-rich content via S3 and automates deployments to AWS EC2 using Docker containers. Additionally, the platform needed a way to guide users through a premium apparel collection without human intervention.

The Infrastructure & AI

We engineered a hybrid deployment strategy. The frontend is hosted on Vercel Edge for global speed, while the backend is fully containerized with Docker and orchestrated on AWS EC2. We integrated a Product-Specific AI Style Assistantusing the Gemini API, which provides contextual styling advice, size recommendations, and automated product discovery based on user behavior and product metadata.

Core Engineering Features

AI Style Assistant

Context-aware LLM chatbot that acts as a 24/7 personal stylist, recommending apparel based on trends and user fit.

Automated CI/CD

GitHub Actions pipeline that builds, pushes to DockerHub, and deploys to EC2 on every production push.

Refined Wallet API

Bespoke transaction logic for user credits, automated referral rewards, and secure joiner bonuses.

AWS S3 Media Delivery

Optimized delivery of heavy premium apparel video assets through the AWS Global Network.

Hybrid Auth

JWT-based manual authentication with a fail-safe Google OAuth integration to prevent login crashes.

Containerization

Dockerized Node.js environment ensuring environmental consistency between local and production.

Tech Infrastructure

AWS EC2AWS S3DockerGemini AIGitHub ActionsMongoDBExpressNext.js

Deployment Flow

Full CI/CD Automation

Launch Date

August 2024

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