I'm a Software Engineer from the Faculty of Computers and Artificial Intelligence at Helwan University. I graduated in May 2024 with a cumulative GPA of 3.94 out of 4.00 (Excellent), and an A+ (Excellent) in my graduation project which focused on the detection of blood vessels within kidney tissue using computer vision. I have a robust academic record, demonstrating my commitment to learning and achieving tasks and a proven ability to adapt to emerging technologies quickly.

I possess two years of practical experience in web development, leveraging a diverse tech stack to deliver robust solutions. My front-end expertise lies in React.js and Angular, with strong foundation in DOM manipulation. On the back end, I'm experienced with Node.js, and PHP, ensuring seamless data communication. Furthermore, I have experience working with various relational (SQL) databases like MySQL and SQL Server, alongside NoSQL solutions like Firebase and MongoDB, allowing me to tailor data storage to project requirements. Additionally, I've demonstrated proficiency in desktop application development using Java GUI, having built a Task Manager application for Ubuntu OS.

I possess strong skills in Python, complemented by proficiency in data analysis libraries such as NumPy, Pandas, and Matplotlib, enabling effective data manipulation, exploration, and visualization. My experience with Selenium for Python showcases my ability to automate web browser interactions, streamlining testing processes. I am enthusiastic about expanding my expertise in Machine Learning and Deep Learning. I have successfully implemented various machine-learning algorithms for regression and classification, applying preprocessing techniques to optimize data for desired outcomes. Recently, I have worked with libraries such as TensorFlow and OpenCV for applying computer vision projects, including image classification and segmentation tasks. These experiences underscore my dedication to leveraging advanced technologies to solve real-world problems.