About Me
Table of Contents
I’m a data scientist and machine learning engineer passionate about building intelligent solutions that drive data-driven decision-making and automation. With expertise in machine learning, NLP, and MLOps, I specialize in developing scalable, production-ready AI systems that transform raw data into actionable insights.
I enjoy working on end-to-end ML projects, from data preprocessing to model deployment, leveraging cloud platforms and industry-standard software engineering practices to build robust AI solutions.
Experience
AI & Data Science - Microsoft Machine Learning Engineer
📍 Digital Egypt Pioneers Initiative – Cairo, Egypt (October 2024 – Present)
- Designed and fine-tuned machine learning models for predictive analytics, improving accuracy and efficiency.
- Implemented MLOps workflows using Microsoft Azure, ensuring seamless model deployment and monitoring.
Trainee – Python, Data Analysis, and ML
📍 Huawei Academy (ERU Branch) – Cairo, Egypt (July 2024 – August 2024)
- Built predictive models using Scikit-learn and performed exploratory data analysis.
- Recognized on the Honor Board for outstanding technical proficiency.
Tech Stack
Programming & Software Engineering
- Proficient: Python | SQL | Git
- Familiar: C++ | Java | Bash Scripting
- Experienced in: CI/CD | Unit Testing | Version Control
Machine Learning & AI
- Expert in: Building and optimizing ML models using Scikit-learn and XGBoost
- Proficient in: Data Preprocessing | Feature Engineering | NLP (spaCy, Transformers)
- Familiar with: TensorFlow | PyTorch | LLMs
Data Visualization & Analytics
- Power BI | Tableau | Matplotlib | Seaborn
Cloud & MLOps
- Proficient in: Microsoft Azure | Docker | Model Deployment
- Familiar with: AWS (S3, EC2, ECS) | Kubernetes | MLflow
Education
- B.Sc. in Computer Science (AI Specialization) – Egyptian Russian University (2022 - 2026)
Certifications
- Microsoft Machine Learning Engineer – Digital Egypt Pioneers Initiative
- HCIA-AI V3.5 – Huawei Academy
- Python for Data Analytics – Luke Barousse
- Mathematics for Machine Learning – Coursera