Welcome to my website, I am Ahmad

I am a full stack developer
I am a React developer
I am a Django developer

Ahmad Hamze

Full Stack developer

Full-stack software engineer with a strong backend focus. I build scalable web applications using React and Python (FastAPI), and I design AI-powered systems that integrate LLMs into real-world workflows. Experienced in deploying production services on AWS and modern cloud platforms, I care deeply about system design, clarity, and long-term maintainability.

Skills

Backend Systems Engineering

Design and implementation of scalable backend services using Python and FastAPI. Experience building REST APIs, authentication flows, background processing, and multi-session systems with persistent context and database integration.

AI & LLM Integration

Development of production-ready LLM-powered applications, including RAG pipelines, context management, and structured AI workflows. Experience integrating OpenAI APIs into backend systems with real-world deployment considerations.

Cloud & Infrastructure

Deployment of containerized applications using Docker on AWS ECS and Render. Experience configuring managed PostgreSQL, environment management, and maintaining reliable production services.

Data & Persistence

Schema design and database integration using PostgreSQL and SQLite. Comfortable modeling data for multi-session applications and AI-driven workflows.

Frontend Engineering

Full-stack experience building modern interfaces with React and TypeScript. Familiar with TailwindCSS and component-based design systems.

Development Workflow

Git-based workflows, feature branching, containerized development with Docker, and iterative deployment practices.

Projects

AI Medical Chatbot

A medical chatbot that uses a Retrieval Augmented Generation (RAG) pipeline to provide accurate and context-aware responses to user queries.

Star

Live Pictionary

A live pictionary using websockets and P5.js

Star

Earthquakes

A Processing program that maps the locations of 2000 earthquakes that occured between the years 2000 and 2012

Star

Simple Simulations

simulations using P5.js

Star

Typing Speed of Selenium

A program that automates the typing speed test with Selenium

Star

Blogs

Image manipulation with convolution using Julia

In the past month, I started learning the Julia programming language, it was created by mathematicians for mathematicians. It is mostly used for scientific research and teaching purposes. I was always drawn to it, but for some reason I kept procrastinating learning it until recently. In this blog, I will share what I learned from the amazing Introduction to Computational Thinking course taught by Professor Alan Edelman, one of the cofounders of the Julia language, and others.

February 24, 2026 Read

AWS ALB and Render.com Deployment

In the previous blog RAG Chatbot: AWS Deployment, we walked through deploying a RAG chatbot using AWS ECS Fargate. This time, we’ll take it a step further by setting an Application Load Balancer (ALB) for a stable, production-ready endpoint, and we’ll also look at a simpler alternative on Render.com. Application Load Balancer (ALB) The app is currently deployed with an IP address assigned to the running task of the ECS service.

August 9, 2025 Read

RAG Chatbot: AWS Deployment

In a previous blog, we created a RAG chatbot using Qdrant, and FastAPI. In this blog, we will deploy the chatbot as an API using Docker and AWS. What does it mean to deploy an application? Deployment is the process of making an application available for use, this does not necessarily mean that the application is in production. Deployment can be done in different environments, such as development, staging, and production.

June 1, 2025 Read