Featured
Alzheimer's Disease Classification
Deep learning model achieving 94.8% accuracy for multi-class Alzheimer's disease classification from brain MRI scans using fine-tuned CNN architectures.
PyTorchCNNsTransfer LearningMedical Imaging
Nour Hatem
AI Engineer & Machine Learning Engineer
Building intelligent systems that bridge the gap between research and production — from deep learning models to end-to-end ML pipelines.
About Me.
I am an AI Engineer with a deep passion for building intelligent systems that solve real-world problems. My journey in artificial intelligence spans deep learning, natural language processing, computer vision, and production-grade machine learning pipelines.
With a foundation in Computer Science and Artificial Intelligence from Helwan University, I combine rigorous theoretical knowledge with hands-on engineering. I thrive at the intersection of research and deployment — where models move from notebooks to scalable production systems.
My work is driven by curiosity and precision: every model I build is designed not just to perform, but to be reproducible, interpretable, and deployable.
B.Sc. Computer Science & Artificial Intelligence
Helwan University
Digital Egypt Pioneers Initiative (DEPI) — Machine Learning Track
National Telecommunication Institute (NTI) — Data Analysis & ML Specialist
ITI × NVIDIA Deep Learning Institute — Generative AI & Deep Learning
Huawei HCIA-AI — AI & Machine Learning Certification
Experience.
Data Analysis Trainee
National Telecommunication Institute (NTI)
- Performing advanced data analysis using Python, SQL, and Power BI to derive actionable insights from large-scale datasets.
- Building interactive dashboards and automated reporting pipelines for stakeholder presentations.
- Applying statistical methods and exploratory data analysis to support data-driven decision making.
Generative AI & Deep Learning Trainee
ITI × NVIDIA Deep Learning Institute
- Completed intensive training on building LLM-powered applications using prompt engineering and RAG architectures.
- Implemented deep learning models for image classification and NLP tasks using PyTorch and TensorFlow.
- Earned NVIDIA DLI certifications in Deep Learning and LLM Application Development.
Machine Learning Trainee
Digital Egypt Pioneers Initiative (DEPI)
- Developing end-to-end machine learning pipelines covering data preprocessing, feature engineering, model training, and evaluation.
- Implementing supervised and unsupervised learning algorithms with scikit-learn and XGBoost.
- Working on real-world projects including disease prediction, trip duration forecasting, and classification systems.
- Tracking experiments with MLflow and deploying models via Streamlit and FastAPI.
AI & Machine Learning Trainee
Huawei HCIA-AI
- Completed Huawei's HCIA-AI curriculum covering machine learning fundamentals, deep learning, and AI application development.
- Studied neural network architectures including CNNs, RNNs, and attention mechanisms.
- Gained hands-on experience with Huawei's AI development platform and tools.
Machine Learning Specialist Trainee
National Telecommunication Institute (NTI)
- Completed intensive ML specialist training covering regression, classification, clustering, and dimensionality reduction.
- Built predictive models using scikit-learn, XGBoost, and ensemble methods on real-world datasets.
- Awarded Best Member recognition for outstanding performance and project delivery.
Projects.
Featured
Heart Disease Prediction System
End-to-end ML system for heart disease prediction deployed as an interactive Streamlit application using XGBoost with comprehensive feature engineering.
XGBoostStreamlitScikit-learnPandas
Featured
NYC Taxi Trip Duration Pipeline
Production ML pipeline processing 1.46M taxi trip records with XGBoost for trip duration prediction, featuring comprehensive data engineering.
XGBoostPandasFeature EngineeringMLflow
Skills.
AI & Deep Learning
PyTorchTensorFlowScikit-learnXGBoostHuggingFaceBERTCNNsRNNsLangChainNVIDIA NIMMLflow
Machine Learning
Supervised LearningUnsupervised LearningFeature EngineeringHyperparameter TuningPCAModel Evaluation
Programming
PythonSQLRJavaScriptCC++
Data & BI
Power BITableauExcelPandasNumPyMatplotlibSeabornPlotly
Tools & Infrastructure
GitGitHubStreamlitFastAPIDockerLinuxJupyterColabFirebase
Certifications.
Machine Learning Specialization
Coursera — DeepLearning.AI & Stanford (Andrew Ng)
Building LLM Applications with Prompt Engineering
NVIDIA Deep Learning Institute
Getting Started with Deep Learning
NVIDIA Deep Learning Institute
Career Essentials in Data Analysis
Microsoft & LinkedIn Learning
Data Analyst in Python Track
DataCamp
AI & Machine Learning Foundations
Sprints × Microsoft
MySQL Data Analysis
Maven Analytics
Get in Touch.
Have a project in mind or want to collaborate? I'd love to hear from you.