Senior CS Student at Fayoum University specializing in Computer Vision, Deep Learning, and Competitive Programming
- π Computer Science student at Fayoum University (2022-2026)
- οΏ½ Instructor at Digital Egypt Cubs Initiative - Teaching tech to youth aged 12-17
- π οΈ Building CV solutions with PyTorch, OpenCV, and TensorFlow
- π¨βπ« Former Mentor & Coach at Fayoum ICPC Community (2023-2025)
πΌοΈ Intel Image Classification
Comparative study of AlexNet vs ResNet18 for scene classification (6 classes). ResNet18 achieved 93.03% test accuracy with F1-score of 0.93 in just 19 minutes, demonstrating deep architecture advantages.
Tech Stack: PyTorch, Torchvision, Google Colab
Comprehensive comparison of Custom CNN vs Transfer Learning (ResNet50V2) for 7-emotion classification on 35K images. Transfer learning achieved 68.79% accuracy (11% improvement) but with 20Γ more parameters, highlighting accuracy-efficiency trade-offs.
Tech Stack: TensorFlow/Keras, Matplotlib, Kaggle
π Kaggle Notebooks:
Computer Vision & Deep Learning
Core Expertise: Image Classification β’ Object Detection β’ Transfer Learning β’ Neural Networks β’ Data Structures & Algorithms β’ Problem Solving
Computer Vision & Deep Learning
- Deep Learning for Computer Vision (NTI & Coursat.ai)
- OpenCV Bootcamp
- Machine Learning Specialization (Andrew Ng)
Competitive Programming
- Codeforces Expert
- 17th Place - ECPC 2023 Qualifications (out of 280 teams)
- 90th Place - ECPC 2023 Final
- Mastering Algorithms using C++ (Dr. Moustafa Saad)
Additional
- Google Data Analytics Professional Certificate
- AI Career Essentials (AiCE)
- Introduction to Generative AI with AWS
