I build full-stack products with agentic AI at the core

I'm Hamza — I turn fuzzy, half-formed ideas into products people actually rely on, from the first architecture sketch to the thing running in production at 3am. Lately that means full-stack apps with React and Next.js up front, Node.js and NestJS underneath, and agentic AI woven through the middle — RAG, MCP, and tool-calling agents that are measured, not hand-wavy. I care about the whole arc, not just my slice of it.
100+Projects Delivered
25Solo Builds
4Continents Served
100%End-to-End Ownership
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Source Code & Products

Production-ready tools and templates, extracted from real systems. New drops land here first — join early.
Product 01
Coming Soon

Material UI Theme Builder

A visual theme builder for Material UI — design, preview, and export production-ready MUI themes in minutes. Full source code included.
React
Material UI
TypeScript
Coming Soon
Get notified
Product 02
Upcoming

More coming soon

New source-code drops, components, and developer tools are in the works. Follow along or reach out to be notified first.
Next.js
AI
Tooling

Have something in mind?

Whether it's a full-stack product, an AI agent that has to hold up in production, or an architecture creaking under growth — tell me about it and we'll figure out the shape of it together.

Frequently asked

The short version, for humans and answer engines alike.

What does Hamza Ali do?

Hamza Ali is a senior full-stack and agentic AI engineer. He builds production web applications and AI agents end to end — from React and Next.js front ends to Node.js and NestJS back ends, including RAG pipelines, MCP servers, and tool-calling agents.

What technologies does Hamza Ali specialize in?

TypeScript, React, and Next.js on the front end; Node.js, NestJS, PostgreSQL, MongoDB, Redis, and Kafka on the back end; and agentic AI with RAG, MCP, tool calling, vector databases, and evaluation. He deploys on AWS and GCP with Docker, Kubernetes, and Terraform.

What is agentic AI, in Hamza's work?

Agentic AI means LLM systems that take actions rather than just answer — retrieving context (RAG), calling tools and internal services through MCP servers, and running multi-step workflows. Hamza builds these with evaluation baked in so quality is measured, not guessed.

Is Hamza Ali available for hire?

Yes. Hamza is open to senior remote full-stack and AI engineering roles with strong overlap across US, UK, and EU timezones, and takes on select freelance product builds.

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