CS Student · Software Engineer & ML Practitioner · Open to Internships
- 🎓 Computer Science student with a passion for building real-world software
- 🤖 Deep interest in Machine Learning, Deep Learning, and AI systems
- 🌐 Full-stack capable: from frontend fundamentals to backend architecture
- 🔬 Currently working on an EEG signal classification project using ML
- 📫 Reach me: LinkedIn
Languages
Web Development
Databases
Machine Learning & AI
DevOps & Infrastructure
| Area | Topics |
|---|---|
| Statistics & Math | Probability, Normal Distribution, CLT, Covariance, Outliers, Boxplots |
| ML Algorithms | Linear/Logistic Regression, Gradient Descent, MLP, Backpropagation |
| ML Pipeline | Z-scoring, Cross-validation, Regularization (L1/L2/Dropout), Evaluation Metrics |
| Probabilistic ML | Bayesian Inference, MLE, Entropy, KL Divergence, Cost Function Design |
| NLP | LSTM, GRU, Transformers, BERT, GPT, Diffusion Models, RAG, LangGraph |
| Computer Vision | CNNs, U-Net, ResNet, YOLO, Object Tracking, Transfer Learning |
| Deployment | Cloud ML Systems, Fine-tuning LLMs (Unsloth/Ollama), AI Chatbots |
| Project | Description | Stack |
|---|---|---|
| al-mawrid-pharmaceutical | Pharmaceutical e-commerce web app | TypeScript, Node.js |
| Banking-Management-System | Console-based banking system with OOP | C++ |
| clinic-dental-system | Dental clinic management system | JavaScript |
| EEG Classification | Brain signal classification pipeline using ML | Python, ML |
⭐ From mohanedsherif