I build intelligent AI systems at the intersection of healthcare, computer vision, and NLP, with hands-on experience in end-to-end ML pipelines, LLM-based systems, and medical imaging research.
- Python
- NumPy, Pandas, Power BI
- PyTorch, TensorFlow, Scikit-learn
- Transfer Learning, CNNs, YOLO
- Medical Image Analysis
- Object Detection & Tracking
- Image Segmentation, OpenCV
- Text Classification
- Semantic Search
- Embeddings, RAG
- Prompt Engineering
- LLMs & Multi-Agent Systems (LangGraph)
- FastAPI, Streamlit
- FAISS, Git
- 🧬 Single-cell AML classification using YOLOv12, ResNet50, and Inception-ResNet-v2
- 👗 Dressify – AI Fashion Assistant with multimodal search (CLIP + FAISS) and LLM agents
- 🏥 Medical image analysis using transfer learning for disease detection
- ⚙️ Multi-agent AI systems for intent understanding and recommendation workflows
- AI for Healthcare & Medical Imaging
- Quantum ML
- Multimodal AI (Text + Image)
- Retrieval-Augmented Generation (RAG)
- LLM-based Multi-Agent Architectures
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🚀 Passionate about building scalable AI systems with real-world impact, especially in healthcare and intelligent decision support.
- 📧 Email: emadenas888@gmail.com
- 💼 LinkedIn: https://linkedin.com/in/enas-emad
- 💻 GitHub: https://github.com/Enas888