I'm passionate about Machine Learning and Artificial Intelligence. I enjoy building end-to-end AI solutions, training ML models, analyzing data, and deploying applications with modern Python technologies.
- 🎓 AI Engineering Student
- 🤖 Interested in Machine Learning & Data Science
- 🐍 Python Developer
- 📈 Currently learning Deep Learning and MLOps
- 💡 Always building practical AI projects
An end-to-end Machine Learning web application for predicting house prices using Scikit-learn, FastAPI, React, and TypeScript. The project features a trained regression model, REST API, and an interactive frontend.
Tech Stack
A modern role-based desktop application built with PySide6 and SQLite, featuring a complete POS system, inventory management, customer storefront, analytics dashboard, and custom data structure implementations.
Tech Stack
A large-scale Machine Learning pipeline for crime classification using PCA, Optuna, and multiple classification models, supported by extensive exploratory data analysis and performance evaluation.
Tech Stack
An interactive desktop application for visualizing and comparing classical AI search algorithms, including BFS, DFS, UCS, Greedy Best-First Search, A*, Hill Climbing, Beam Search, and IDA* through real-time graphical animations.
Tech Stack
📧 Email: ibrahim.sherif.eng@gmail.com
💼 LinkedIn: ibrahim-sherif-eng
💻 GitHub: ibrahimsherif-eng
📊 Kaggle: ibrahimsheriff12