class NourHatem:
role = ["AI Engineer", "ML Engineer", "Data Scientist"]
university = "CS & AI @ Helwan University (2023–2027)"
location = "Giza, Egypt"
chess = True # always thinking 3 moves ahead
stack = {
"core" : ["Python", "SQL", "C", "C++", "Java"],
"ml" : ["PyTorch", "TensorFlow", "Keras", "Scikit-learn", "XGBoost"],
"llm" : ["LangChain", "RAG Pipelines", "NVIDIA NIM"],
"mlops" : ["MLflow", "Docker", "FastAPI", "Streamlit", "Azure ML", "AWS"],
"vision" : ["OpenCV", "EfficientNet", "YOLO", "ResNet"],
"data" : ["Pandas", "NumPy", "Power BI", "SQL", "Feature Engineering"],
}
def approach(self) -> str:
return "Research → Engineer → Ship → Repeat"AI & Deep Learning
MLOps & Deployment
Data & Programming
Tools & Environment
LLMs & RAG Pipelines ████████████████████░░ Fine-tuning · retrieval-augmented generation · agents
Vision Transformers ███████████████░░░░░░░ ViT · Swin Transformer · modern CV architectures
AI Agents █████████████░░░░░░░░░ Tool use · multi-step reasoning · task execution
Production ML / CI/CD █████████████████████░ Monitoring · versioning · CI/CD for ML systems
