Matrix Store – Full-Stack E-Commerce Application for demo

Atul Ranjan

Verified

Software Engineer

AI Engineer

Fullstack Engineer

AWS

Next.js

TypeScript

E-Commerce

Matrix Store – Full-Stack E-Commerce Application with AI-Driven Security Hardening

Client Goal: Develop a fully functional e-commerce application to showcase Neo’s AI-powered security auditing capabilities, with real-world flows, observability, and secure deployment.

Solution Delivered

I built Matrix Store, a production-grade full-stack e-commerce platform engineered with modern technologies, real-time monitoring, and an AI-driven security lifecycle.

1. Next.js + TypeScript Full-Stack Development

Built using Next.js (App Router) and TypeScript for a scalable, maintainable, and high-performance codebase.

Implemented complete e-commerce features: product pages, cart, checkout, order placement, and user dashboards.

Integrated Firebase for secure authentication and seamless backend services.

Added a realistic coupon system to demonstrate business logic, edge cases, and security scenarios.

2. Observability & Monitoring

Implemented Grafana dashboards to monitor system metrics, API performance, coupon attempts, and security-related events.

Added proper logging, request tracing, and insight dashboards to simulate real production behavior.

3. DevOps, Docker & AWS Deployment

Containerized all services using Docker Compose for reproducible development and deployment.

Deployed the application to AWS, following best practices for performance, uptime, and scalability.

Ensured smooth CI/CD and environment consistency across development and production.

4. Security-First Build

Applied industry-leading security standards: OWASP, dependency hardening, secure auth flows, and API best practices.

Considered all potential exploitation scenarios: coupon abuse, broken access control, input tampering, session flaws, etc.

Purposely left a small number of vulnerabilities to evaluate Neo’s AI-based security engine.

5. AI-Driven Security Audit & Hardening

Ran Neo’s automated security audit against the live AWS deployment.

Successfully detected all intentionally injected vulnerabilities.

Identified additional edge-case issues flagged by Neo’s AI.

Patched and hardened the entire application, resulting in a fully secure, production-ready build.

Sales

Outcome

Matrix Store stands as a complete demonstration of modern full-stack engineering:

Next.js + TypeScript architecture

Secure Firebase integration

Grafana observability

Docker Compose orchestration

AWS deployment

AI-based vulnerability detection and remediation

The final product is a security-tight, feature-rich e-commerce platform ideal for showcasing technical capability in development, DevOps, and cybersecurity.

Like this project

Posted Nov 28, 2025

Built a secure Next.js e-commerce app with coupons, Grafana, Docker, and AWS—then used AI audits to find and fix real vulnerabilities.

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Timeline

Nov 6, 2025 - Nov 21, 2025

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