Senior Machine Learning Engineer & AI Consultant
Cairo, Egypt | Working Globally
class MLEngineer:
def __init__(self):
self.specializations = [
"Advanced LLM integrations & prompt engineering",
"Computer vision & object detection systems",
"ML systems architecture & MLOps",
"Robotics & embedded AI solutions"
]
self.tech_stack = {
"languages": ["Python", "R", "C/C++", "Java"],
"ml_frameworks": ["PyTorch", "TensorFlow", "Scikit-learn", "YOLO", "Detectron2"],
"deployment": ["AWS Sagemaker", "Serverless", "Lambda", "Docker", "Kubernetes"],
"cloud_platforms": ["AWS", "GCP", "Firebase"],
"llm_tools": ["GPT-4", "Claude 3", "Gemini", "LangChain", "RAG"]
}
def mission(self):
return "Building AI systems that solve real problems"ML Systems at Scale
- Engineered computer vision systems for airport operations processing 50K+ images daily
- Achieved >90% mAP50 on object detection models for mission-critical applications
- Optimized MLOps pipelines reducing model training time to 12 minutes
Edge AI Development
- Developed real-time face detection systems with 10-second inference on Raspberry Pi
- Built exoskeleton robots with published research in robotics
- Implemented drowsiness detection for automotive safety applications
| Platform | Certification |
|---|---|
| Udacity | Deep Learning Nanodegree |
| Coursera | Deep Learning Specialization |
| Udacity | Computer Vision Nanodegree |
| Udacity | Cloud Development Nanodegree |
| Udacity | ML Introduction Nanodegree |
| Udacity | Advanced Data Analyst Nanodegree |
| Coursera | Mathematics for ML Specialization |
| Huawei | AI Certification (HCIA) |
Languages & Frameworks
Development & Deployment
Data & Web
Advanced Image Captioning System
LSTM/CNN architecture achieving 90%+ accuracy on complex image descriptions
Object Detection Pipeline
Production-ready YOLOv8 integration with AWS Sagemaker for scalable inference
LLM-Powered Data Analysis
RAG implementation enabling enhanced document processing and retrieval
Exoskeleton Robot Control
ROS-based movement assistance system with real-time control algorithms
Drowsiness Detection System
Computer vision application for automotive safety with real-time alerting
Open to collaboration on ML/AI projects | Available for consulting