Hi there! My name is Mohamed. I'm a computer science student at Toronto Metropolitan University.

I'm interested in AI systems and low-level engineering. I build platforms that bridge the gap between research and production.

Selected Projects

Brain Tumor Segmentation & Classification

Hybrid deep learning pipeline utilizing a U-Net architecture and ResNet-50.

Engineered a dual-stage architecture to process 3,064 MRI scans. The U-Net stage generates binary masks for tumor localization (achieving a 0.75 Dice Score), while the ResNet-50 stage classifies the tumor type (Meningioma, Glioma, Pituitary) with 96% accuracy.

Python • PyTorch • OpenCV • ResNet-50

Motorolla 6809 Emulator

Cycle-accurate CPU emulation.

This is the microprosser that was used to teach me in the Computer Organization II course at TMU (CPS310) so I thought I'd build it myself

C++ • SDL3 • Assembly

Personal website

Built with Gatsby and deployed on Netlify

A statically generated React site using Tailwind CSS v4. Implements a continuous deployment pipeline where git commits automatically trigger builds and deployments via Netlify/Vercel.

React • Gatsby • CI/CD

Get in Touch

Have a project in mind or anything to share with me? Send me a message and I'll get back to you. (I promise!)