
AI / ML Engineer
Services
AI Consulting
Strategic AI consulting to help your business leverage cutting-edge machine learning solutions.
- AI strategy development
- Technical architecture design
- MLOps implementation
- Performance optimization
LLM Development
Expert implementation of Large Language Models for your specific business needs.
- Custom LLM fine-tuning and deployment
- RAG system development
- Prompt engineering optimization
- LLM performance evaluation
Computer Vision
State-of-the-art computer vision solutions for complex visual analysis tasks.
- Object detection & recognition
- Image segmentation
- Visual search systems
- Video analysis
About Me
AI and Machine Learning Engineer and Master of Data Science with a strong focus on delivering business-driven AI solutions. As a Kaggle Master (Top 1%) and Top-Rated freelancer on Upwork, I specialize in LLMs, Deep Learning, and Computer Vision. I help businesses turn complex data challenges into scalable, production-ready systems that drive real value.
Education
Master's in Data Science
2024 - 2025Cairo University - Faculty of Graduate Studies for Statistical Research
Advanced statistical research in data science with focus on machine learning, statistical modeling, and big data analytics. Applied AI/ML techniques to real-world problems, achieving a GPA of 3.6/4.0.
B.Sc. in Electronics & Communications Engineering
2016 - 2021Port Said University - Faculty of Engineering
Strong foundation in mathematics, signal processing, and problem-solving - key skills that complement my AI/ML expertise. Combined engineering principles with computational thinking to develop innovative solutions.
Featured Projects
Large Language Models Expert
Specialized in fine-tuning and deploying LLMs for various business applications. Expertise in prompt engineering and RAG implementations for enhanced model performance.
Computer Vision Solutions
Developed state-of-the-art computer vision models for object detection and image segmentation, achieving top performance in Kaggle competitions.
MLOps & Model Deployment
Implemented end-to-end MLOps pipelines for model training, validation, and deployment. Expertise in cloud platforms and containerization.