Skills
Python, C++, SQL, Machine Learning, Deep Learning, PyTorch, Scikit-learn, CNN, ANN, Natural Language Processing (NLP), Arabic NLP, AraGPT, AraBERT, LSTM, Word2Vec, TF-IDF, Retrieval-Augmented Generation (RAG), Data Quality, Information Retrieval, MapReduce Concepts, Computer Vision, DCGAN, Git, Linux, Jupyter Notebook, ROS2, Parallel Computing (C++).
About
A Data Science and Artificial Intelligence graduate from the Hashemite University with a strong foundation in machine learning, natural language processing, and generative AI systems. Experienced in building end-to-end AI pipelines, including data preprocessing and model evaluation. During my internship at UNRWA, I gained practical exposure to Data Quality and Retrieval-Augmented Generation (RAG) pipelines. I have successfully implemented advanced projects such as a personalized Arabic story generation system using AraGPT and sentiment analysis models using LSTMs. I am passionate about applying AI solutions to solve real-world challenges and contributing to impactful technology teams.