Building intelligent systems at the intersection of Deep Learning, Computer Vision, and Healthcare AI
I'm a Systems and Biomedical Engineering Student at Faculty of Engineering-Cairo University with a passion for developing cutting-edge deep learning solutions for real-world problems. My expertise spans medical imaging, computer vision, GPU computing, and agentic AI systems. I'm particularly drawn to projects that combine technical rigor with meaningful impact, especially in healthcare applications.
- Medical Imaging AI: Clinical-grade computer vision systems for diagnostic imaging
- Efficient Deep Learning: Optimizing model performance on edge devices and GPUs
- Multi-Agent Systems: Designing scalable agent architectures for complex problem-solving
- GPU Computing: Low-level optimization and CUDA programming for ML workflows
- Interpretability: Understanding and visualizing deep learning decision pathways in critical applications
- Pediatric-Pneumonia-Detection - Showcase medical imaging expertise
- Vertebrae-Segmentation-System - Demonstrate advanced computer vision capabilities
- Agentic-RAG-System - Display cutting-edge AI/LLM integration skills
- 🎯 Specialization: Medical Imaging + Agentic AI Systems
- 💻 Preferred Stack: Python + PyTorch/TensorFlow + CUDA
- 🚀 Most excited about: Healthcare AI applications with real clinical impact
- 🔬 Research mode: Enabled
- ☕ Fueled by: Deep learning papers and strong coffee
- 🎮 Fun fact: Building AI systems that can think like multi-dimensional problem solvers
I'm always interested in collaborating on:
- Medical AI projects with real-world clinical applications
- Computer vision research pushing the boundaries of visual understanding
- Open-source contributions in the ML/AI space
- Challenging problems that require deep technical depth
Feel free to reach out for discussions on AI/ML architecture, medical imaging challenges, or just to talk about the future of healthcare AI!