I am a highly driven AI Engineer with a deep fascination for creating systems that don't just process data, but understand and interact with the real world. My expertise lies in bridging the gap between cutting-edge research and production-ready applications.
- 🔭 Expertise: Specialized in Generative AI (RAG Pipelines) and high-performance Computer Vision.
- 🛠️ Philosophy: I believe in building scalable, microservices-based AI architectures that solve tangible business problems.
- 🚀 Goal: To push the boundaries of what's possible with Autonomous Agents and Real-time Video Intelligence.
- 🎓 Academic Excellence: Graduated with a Very Good with Honors degree in AI (Class of 2025).
- 🏆 NASA Space Apps: Led my team to 1st Place among 400+ participants by developing innovative space-tech solutions.
- 🌍 Leadership: Appointed as a Technology Ambassador by the Ministry of Communications and Information Technology (MCIT), Egypt.
- Generative AI: Designing advanced RAG systems, working with LLMs (GPT, Llama), and Prompt Engineering.
- Computer Vision: Real-time detection with YOLOv12, multi-object tracking (ByteTrack), and anomaly detection.
- MLOps: Containerization with Docker, building Microservices, and asynchronous processing with RabbitMQ.
Problem: Students struggled with navigating complex university regulations.
- Solution: Built a context-aware chatbot using LangChain and Vector Databases.
- Impact: Achieved a 35% reduction in manual advising workload.
Problem: Ensuring food safety compliance in real-time.
- Solution: Developed a multi-threaded CV pipeline using YOLO12 for hygiene detection.
- Architecture: Used RabbitMQ to handle high-frequency data streams across microservices.
I am looking for opportunities to contribute to Large-scale AI projects and Innovation-driven teams.
 |
 |
 Gmail |
