I build intelligent systems at the intersection of healthcare, artificial intelligence, and emerging quantum technologies. My experience spans medical imaging research, computer vision, NLP, end-to-end ML pipelines, and LLM-based systems, with a growing focus on quantum machine learning and optimization for healthcare applications.

I’m particularly interested in developing innovative solutions that combine AI and quantum computing to solve complex real-world problems in healthcare, diagnostics, and intelligent systems.

• 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

• 📧 Email: emadenas888@gmail.com
• 💼 LinkedIn: https://linkedin.com/in/enas-emad
• 💻 GitHub: https://github.com/Enas888