Hi, I'm
I specialize in Natural Language Processing and Deep Learning, with a focus on Arabic medical text processing and Large Language Models.
I hold a Master's degree in Computer Science with a focus on Artificial Intelligence from King Khalid University, where I achieved a GPA of 4.81/5.0.
My research centers on Arabic medical text processing, Named Entity Recognition for mental health data, and leveraging Large Language Models like GPT-4o, LLaMA, and ALLaM for innovative healthcare solutions.
With experience in data analysis, machine learning, and software development, I'm passionate about creating intelligent systems that solve real-world problems.
Conducted research on Arabic medical text processing with focus on Named Entity Recognition (NER) for mental health data. Applied LLMs including GPT-4o, LLaMA, and ALLaM for automated annotation and evaluation.
Analyzed structured datasets using Excel, Python, and SQL. Built dashboards and reports in R and Tableau to support data-driven decision-making.
Provided technical support and troubleshooting for students, contributing to improved academic productivity through IT assistance.
Intelligent question-answering system using LangChain with LLaMA language model to extract information from user-provided webpage links.
View on GitHub →CNN model for facial emotion recognition with hyperparameters optimized using Particle Swarm Optimization, achieving improved accuracy over baselines.
View details →Web-based malware detection system using 1D Convolutional Neural Networks with comprehensive software engineering practices.
View details →Python, SQL, R, Swift
Deep Learning, Machine Learning, NLP, Large Language Models
Tableau, Power BI, Excel, Data Analysis
Jupyter, VS Code, RStudio, Git, GitHub, Xcode
I'm currently open to new opportunities and collaborations. Whether you have a question or just want to say hi, feel free to reach out.