The Spark
Second year of secondary school. I wrote my first lines of code — and never stopped.
أحمد عبدالرازق أحمد
I build AI that sees, and apps that people actually use.
I'm Ahmed — a 21-year-old Level 3 student at the Faculty of Artificial Intelligence, Delta University for Science & Technology. I've been writing code since my second year of secondary school, and since then I've designed my own neural networks, shipped apps on iOS & Android, and pushed a website to the #1 spot on Google.
years of coding
shipped products
rank on Google
medical AI models
Second year of secondary school. I wrote my first lines of code — and never stopped.
Joined the Faculty of Artificial Intelligence at Delta University for Science & Technology. Now in Level 3.
Built a music app for iPhone — my first real product in people's hands.
Designed my own CNN from scratch to detect skin diseases, and shipped it on Android & iOS.
A second medical AI app — detecting pneumonia from chest X-rays.
Built a landing page for buying used furniture and took it to the first result on Google search.
21 and just getting started. Your project could be the next chapter.
Let's talkCustom neural networks designed from scratch — image classification, medical imaging and computer vision models that run inside real apps.
Smooth, polished apps for iOS and Android — from a music player to AI-powered diagnosis tools in your pocket.
Fast landing pages built to convert and optimised for search — I've taken one all the way to #1 on Google.
An Android & iOS app powered by a convolutional neural network I designed myself. Snap a photo of the skin, get an instant AI analysis.
A mobile app that analyses chest X-ray images with a deep-learning model to flag signs of pneumonia in seconds.
A high-converting landing page for buying used furniture — optimised so well it ranks first on Google search.
A native iPhone music app with a fully Arabic interface — and a small learning model running inside the app that gets to know your taste.
This is the first layer of a convolutional neural network, running live in your browser. Each filter slides over the image and lights up a different feature — edges, textures, shapes. It's the same idea behind my skin-disease and pneumonia models.
Your image never leaves your device.
I dig into the problem, the users and the data before writing a line of code.
Architecture, model design and interface — planned so it scales and feels right.
Clean code, trained and tested models, and constant iteration.
Ship it, measure it, and keep improving — like pushing a page to #1.