I'm a Machine Learning Engineer passionate about building AI-driven solutions and machine learning models that solve real-world problems. While pursuing my degree in Computer Science and Information Technology, I realized my true interest lay beyond traditional academia—I'm driven by hands-on learning, experimentation, and creating impactful projects from scratch.

I began coding at age 12, fueled by a fascination with creating something from nothing using a few lines of code. Initially exploring Python and web development, my interests evolved toward AI and machine learning. I've built a diverse skill set through self-learning and real-world projects, focusing on machine learning, data science, and AI.

• Programming Languages: Python
• Machine Learning: Scikit-learn, TensorFlow, XGBoost, OpenAI Gym (Reinforcement Learning)
• Data Science: Pandas, Numpy, Matplotlib
• Mathematics: Linear algebra, calculus, statistics, probability
• Machine Learning Algorithms: Logistic regression, decision trees and tree ensembles (RandomForest and XGBoost), neural networks, k-means, reinforcement learning (Q-learning)
• Data Visualization: PowerBI, Tableau

• SQL: Microsoft SQL Server, PostgreSQL
• Spreadsheets: Excel, Google Sheets
• Programming Languages: C++, C#, HTML/CSS
• Environment Management: Anaconda, Jupyter Notebooks, Conda for virtual environments
• Version Control: Git, GitHub
• Model Deployment (Learning): Flask, Docker, AWS

• Self-Learner: Continuously diving into new technologies and frameworks outside of formal education, with a passion for implementing machine learning models from scratch and understanding the underlying math.
• Problem-Solver: I enjoy taking on complex challenges, breaking them into manageable pieces, and solving them using AI and machine learning.
• Building from Scratch: I love starting projects from the ground up, understanding every layer of the tech stack, and avoiding shortcuts.

• B.Sc. in Computer Science and Information Technology
  Egypt-Japan University of Science and Technology (E-JUST)
  Focus: AI and Data Science

I've prioritized hands-on experience and self-learning over traditional academia. My passion for understanding and applying machine learning concepts has driven my success, and I am constantly building projects that stretch my knowledge further.

• Expanding my knowledge of MLOps tools, including Docker, Flask, and AWS, to deploy and scale machine learning models.
• Exploring Deep Reinforcement Learning and enhancing my understanding of advanced AI algorithms.

Thanks for visiting my GitHub profile! I’m always looking for new projects, collaborations, and opportunities to grow in the field of machine learning and AI.