About Me
AI/ML Engineer with hands-on experience in classical machine learning and LLM-powered systems, including document classification, HybridRAG architectures, and AI-driven web applications. Currently developing STORMBench with a professor from the Technical University of Munich (TUM), a synthetic benchmark for testing LVLMs under extreme driving conditions with radar augmentation.
Python Machine Learning Deep Learning TensorFlow PyTorch Scikit-learn Transformers LLMs RAG & Hybrid RAG LangChain AI Agents Knowledge Graphs OCR Pandas OpenCV Docker Kubernetes CI/CD Linux AWS FastAPI SQL PostgreSQL
Projects
Experience
Full Stack & DevOps Developer
School of Architecture in Egypt
- Architected and deployed a MERN-stack booking system serving 5,000+ users, reducing manual processes by 85%
- Implemented CI/CD pipelines ensuring seamless deployments and high system availability
- Migrated system to a Strapi headless CMS architecture, significantly improving maintainability and content management
- Continuously provided production support and feature updates on an as-needed basis
Software Engineering & AI Intern
Derayah Financial
- Built an online trading platform using .NET, MySQL, and React with real-time stock updates
- Improved stock price prediction accuracy by 15% using RNN and Transformer-based time-series models
- Developed a financial dashboard using Oracle APEX to enhance data visualization and trading decisions
Education
MSc in Computer Science and Engineering
German International University in Berlin
- Master's thesis supervised with a doctor from the Technical University of Munich (TUM)
- Focus on advanced AI systems, machine learning, and applied research
BSc in Computer Science and Engineering
German University in Cairo