Full Stack AI Developer

I’m Muhammad Zaid Amjad, Full-Stack AI Engineer.

I design and ship production-grade web platforms with a performance-first architecture across Next.js, NestJS, and distributed AI workflows. My focus is measurable engineering outcomes: faster delivery loops, stronger system reliability, and cleaner long-term maintainability.

Scope

Platform + AI

Stack

TypeScript / React / Node

Approach

Performance-first delivery

About

Turning product ideas into high-performance production systems.

I bring 6 months of hands-on experience working across the full application lifecycle, from UX-driven frontend implementation to robust backend services. My focus is shipping products that are fast, maintainable, and production-ready.

I'm passionate about staying at the forefront of technology, particularly in the areas of AI and modern web development. Every project is an opportunity to learn, grow, and create something that makes a real impact.

Clean Code

Writing maintainable, scalable code with best practices and modern patterns.

AI Integration

Building intelligent solutions with LLMs, agents, and machine learning.

Full Stack

End-to-end development from UI/UX to backend architecture and deployment.

Skills

Tooling depth across frontend, backend, and DevOps.

A categorized matrix of my technical stack, structured by domain and expertise for easy review.

REST APIsWebSocketsOAuth2JWTCI/CDDockerized DeploymentsAgile Delivery

Projects

Deep dives into high-impact projects.

Featured work explores architecture and performance, while my wider project library focuses on clean execution and rapid delivery.

NeoFlux AI

Featured 01

Automated AI pipeline that leverages n8n to aggregate news from multiple global sources and transform them into structured, production-ready YouTube scripts.

Architecture highlights

  • Event-driven ingestion pipeline with scheduled workers
  • Prompt orchestration layer with reusable content templates
  • Typed API boundary between ingestion, transform, and publishing services

Performance badge

Queue-based

Core stack

Next.jsNest.jsMongoDBn8n automationOpenAI

Sandevistan Class Bot

Featured 02

An automated 'Sandevistan' agent that monitors WhatsApp for meeting links and uses Puppeteer to auto-join classes, featuring a custom Node.js bridge for Docker-to-Host communication.

Architecture highlights

  • Containerized browser automation service with controlled host bridge
  • Workflow triggers mapped to chat events for deterministic bot actions
  • Fault-tolerant retries for unstable meeting links and session handoffs

Performance badge

Containerized

Core stack

Puppeteern8nEvolution APIDockerNode.js

Additional implementations

Music App

Full-stack music platform split into frontend and backend, focused on modern UI and media-first user flows.

ExpressMongoDBReact

ApuKaMovies

Movie browsing web app with clean responsive pages, dynamic data rendering, and fast front-end performance.

ReactViteREST APIs

Pizza Heaven

Pizza ordering interface with interactive menus and order-delivery functionality for a smooth customer journey.

ReactViteE-commerce Flow

Social Media App

Social platform architecture with dedicated frontend and backend, designed for scalable user interactions.

ExpressMongoDBReactSocket.io

Contact

Let's build robust software together.

Open to product engineering roles, freelance builds, and AI-focused collaborations. Reach out with your architecture goals and I can help map execution.

Ready to start a project?

Whether you have a detailed spec or just a rough idea, I'd love to hear about it and discuss how we can bring it to life.

Send me an email