Kareen Ghattas

I have practical experience using Hibernate for object-relational mapping in Java-based projects, enabling seamless interaction between applications and databases in systems like cinema management and e-commerce solutions.

I have experience in building and deploying machine learning models using Python. My expertise includes data preprocessing, feature selection, model optimization, and visualization.

I’ve worked on image processing tasks, including data preprocessing and feature extraction for AI models, during my studies and deep learning projects.

I specialize in deep learning techniques, including building and training models such as ANN, CNN, and LLMs. My projects include log analysis and AI-based solutions for real-world challenges.

With a strong foundation in C and C++ from my studies, I’ve applied these languages to solve complex problems, implement object-oriented solutions, and build efficient algorithms for various applications.

I have extensive experience in Java, including building desktop applications integrated with MySQL databases and implementing object-oriented designs. I’ve worked on projects like the Lilach virtual flower shop and theater management systems.

I have hands-on experience with MySQL, having developed database-driven applications, including a virtual flower shop project using Java and MySQL. I can design, optimize, and manage relational databases effectively.

I specialize in Python programming for data analysis, machine learning, and building efficient algorithms. My projects include AI model development, real-time data processing, and data visualization using libraries like Pandas, Matplotlib, and Seaborn.

My expertise in back-end development includes building server-side architectures using Java, Hibernate, and MySQL. I focus on creating scalable and efficient systems with robust database integrations.

I have foundational knowledge of assembly language, gained during my Computer Science degree. I’ve used it to understand low-level system operations and optimize code for performance-critical tasks.