🎓 Computer Engineering Student @ Cairo University (CGPA: 90% — Excellence)
🤖 Focused on Machine Learning, Deep Learning, NLP, and GenAI
⚙️ Strong Software Engineering foundation in Full-Stack Development & MLOps
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🥇 1st Place — College Research Day
→ Anomaly Detection in Network Traffic — 99.98% accuracy on KDD Cup 1999 (Random Forest, Isolation Forest, ANOVA) -
🏅 Top 6 — Capgemini AI Hackathon
→ Built Young Pharoahs: AR + GenAI assistant with RAG pipeline (Gemini Vision, BGE-M3, Pinecone, STT/TTS) -
🌍 LFX Mentorship (RISC-V)
→ Automated code generation pipelines from architecture specs
| Project | Stack | Highlights |
|---|---|---|
| Fault Recognition | Keras, GMM, Librosa, Docker | Audio anomaly detection, VGG-style CNN, Focal Loss |
| HR Agent | FastAPI, React, ChromaDB, DistilBERT | Vector job-matching, sentiment analysis |
| Offside Detection | OpenCV, RANSAC, K-Means, YOLOv8, Streamlit | ~290ms processing, Classical CV vs. DL benchmark |
| NumPyNet | Pure NumPy, OOP | Neural network from scratch, 4.5x vectorization speedup |
| SIC Capstone | Scikit-learn, Pandas, Power BI | Churn prediction, EDA, clustering, dashboards |
ML & Deep Learning: Scikit-learn, NumPy, Pandas, TensorFlow/Keras, PyTorch, XGBoost, Random Forest, K-Means, PCA, GMM, DBSCAN
NLP & CV & Audio: RAG, ChromaDB, Pinecone, Gemini API, OpenCV, YOLOv5/v8, Librosa, Mel-spectrograms, Noise Reduction, Streamlit
Data Science: Matplotlib, Seaborn, Power BI, EDA, Feature Engineering, Statistical Analysis, t-SNE
AI Engineering: FastAPI, Docker, Git/GitHub, CI/CD, Python, SQL, Jupyter Notebooks
Software: TypeScript, JavaScript, C/C++, React.js, Vue.js, Node.js, PostgreSQL, MongoDB, Systems Programming
- Diving deeper into Generative AI & LLM systems
- Building real-world ML/AI pipelines with production-grade deployment
- Preparing for AI/ML Engineer roles & research opportunities
