Computational Science and Artificial Intelligence student at Zewail City, with a concentration in Data Science and AI.
I work on machine learning, deep learning, and applied optimization. My background spans competition ML (Kaggle), generative deep learning, and from-scratch implementations of optimization and information-theory algorithms.
- Network Intrusion Detection (Kaggle, 2nd of 40+) — multi-class classifier on imbalanced traffic; private score 0.9163.
- Adaptive Code Lab — Clean Architecture code-grading platform with LLM-generated hints and embedding-based plagiarism detection; 97.5% test coverage.
- Revised Simplex Method — from-scratch LP solver with LU-update pivoting, benchmarked against scipy HiGHS.
- β-VAE on Medical MNIST — convolutional AE and β-VAE with documented posterior collapse diagnosis and remedy.