Automatic License Plate Recognition (ALPR)
[#] DONEFull-stack computer vision system for real-time license plate detection and recognition using YOLOv11, with a high-performance FastAPI backend for model serving and rapid inference.
.-""""""-.
.' '.
/ O O \
: :
| :
: ,----------. :
\ '--------' /
'. .'
'-......-'
AI & Software Engineer specializing in Computer Vision, Machine Learning, and Cloud Infrastructure. Expert in building and deploying full-scale intelligent systems with TensorFlow, YOLO, and OpenCV. Managed the entire ML lifecycle, from data analysis to high-performance model implementation. Focused on delivering scalable, production-ready AI products through robust software engineering.
@ Cairo, Egypt
B.Sc. in Computer and Information Science — AI & Data Science, Zagazig National University (2023 - 2027 expected)
LANGUAGES: Arabic - Native / English - Fluent / German - Basic
Global Consumer Intelligence (GCI) | Matsu Lab, University of Tokyo
Microsoft Machine Learning Internship | DEPI (Digital Egypt Pioneers Initiative)
Elevvo Pathways
National Telecommunication Institute (NTI)
ZNU Robotics Community & Evolvia Community
GDG On-Campus Zagazig
Full-stack computer vision system for real-time license plate detection and recognition using YOLOv11, with a high-performance FastAPI backend for model serving and rapid inference.
Conversational AI agent for mental health support built on the TinyLlama language model, with an interactive Gradio interface deployed to Hugging Face Spaces.
High-precision medical computer vision pipeline using PyTorch and a custom-tuned ResNet-50 to classify and grade diabetic retinopathy from high-resolution retinal scans, cutting diagnostic error rates by 15%.