About Me

A highly motivated Machine Learning Engineer and AI enthusiast with a strong foundation in developing intelligent, data-driven applications. My primary focus lies in Machine Learning, Deep Learning, and Generative AI, with hands-on experience in Python, data preprocessing, model development, and deploying scalable AI solutions. Passionate about solving real-world problems by integrating intelligent models into modern workflows. Additionally equipped with robust Full-Stack capabilities using JavaScript, React, Next.js, and FastAPI, enabling the end-to-end development of complete AI-powered web applications.

Machine Learning & AI

Building intelligent, data-driven applications with Python, PyTorch, TensorFlow, XGBoost, and Scikit-Learn. Specializing in predictive modeling, deep learning, and Generative AI.

Generative AI & RAG

Hands-on experience with LLM engineering and Retrieval-Augmented Generation (RAG) to create context-aware, intelligent semantic search applications.

Full-Stack Development

End-to-end development with Next.js, React.js, FastAPI, and PostgreSQL — delivering complete AI-powered web applications from backend to frontend.

Frontend Engineering

Creating responsive, high-performance UIs with TypeScript, Tailwind CSS, and modern React patterns. Focused on UX quality and fast load times.

Work Experience

My professional journey and contributions

AI Consultant

Nafezly

Present
  • Provide expert consultation on the latest AI advancements, guiding clients on adopting and integrating modern AI technologies.
  • Advise on and apply a wide spectrum of Machine Learning and Deep Learning techniques to optimize systems and solve complex data challenges.
  • Focus on Large Language Model (LLM) engineering, leveraging advanced techniques such as Retrieval-Augmented Generation (RAG) to build smart, context-aware AI solutions.

AI & Full-Stack Developer

Digital Egypt Pioneers Initiative (DEPI)

2024 – 2025
  • Engineered a complete end-to-end web application with a high-performance FastAPI backend and a dynamic Next.js frontend.
  • Architected and integrated a PostgreSQL database from scratch to securely handle and persist user data.
  • Handled diverse datasets to design, train, and evaluate supervised and unsupervised ML models using XGBoost, Gradient Boosting, SVM, and KNN.
  • Implemented deep learning architectures (NN, CNN, RNN, LSTM) for complex pattern recognition tasks.
  • Trained predictive models on the Pride dataset achieving 99% accuracy, and developed optimized classification models for the ECG5000 time-series dataset.

Frontend Developer

Hoor Book (E-Commerce Platform)

June 2025 – Present
  • Develop and maintain responsive web pages using Next.js and Tailwind CSS for an e-commerce platform offering supermarket and library products.
  • Implemented the location management feature and built the full "Forgot Password" authentication cycle.
  • Integrated a barcode/QR scanner for faster product search and checkout flows.

Head of Front-End Department & Developer

Elgazaly Platform

Jan 2026 – Feb 2026
  • Led the frontend team, managed workflow, and supervised internal project delivery.
  • Handled the full UI implementation for the entire platform, building all user interface pages and integrating frontend components with backend services.

Committee Head & Front-End Developer

IEEE Beni Suef Student Branch

Oct 2024 – May 2025
  • Collaborated with the IEEE student chapter to lead front-end initiatives.
  • Developed and maintained web components for internal branch projects.

My Skills

HTML5

HTML5

90%
CSS3

CSS3

90%
JavaScript

JavaScript

80%
TypeScript

TypeScript

70%
React.js

React.js

70%
Next.js

Next.js

60%
Python

Python

85%
NumPy

NumPy

80%
Pandas

Pandas

80%
Matplotlib

Matplotlib

75%
Scikit-learn

Scikit-learn

70%
TensorFlow

TensorFlow

65%
Keras

Keras

65%

My Projects

Get in Touch