M.S. Computer Science @ KAUST B.S. Computer Science @ University of Arizona
I build AI-powered systems and data-driven solutions that transform information into actionable insights, intelligent applications, and decision-support tools.
📍 Saudi Arabia
My interests lie at the intersection of Artificial Intelligence, Machine Learning, Data Analytics, and Software Engineering.
I enjoy building systems that help people and organizations make better decisions through data. My work spans machine learning models, retrieval-augmented generation (RAG), analytics pipelines, intelligent applications, and AI-powered decision-support systems.
- AI-powered decision-support systems
- Generative AI and LLM applications
- Retrieval-Augmented Generation (RAG)
- Data analytics and business intelligence
- Machine learning pipelines
- Intelligent software systems
AI-powered labor market intelligence platform that analyzes Saudi AI, data, and technology job markets through job postings, strategy documents, analytics pipelines, and planned RAG capabilities.
Tech: Python, NLP, Streamlit, Power BI, LangChain
Investigation of safety-capability tradeoffs in large language models using Direct Preference Optimization (DPO) across Llama 3.1-8B and Qwen 2.5-7B.
Tech: PyTorch, Hugging Face, LoRA, DPO
Web-based transportation coordination platform developed during my internship at the Urban Information Lab, supporting rider-driver coordination and map-based mobility workflows.
Tech: Python, JavaScript, Leaflet.js
Interactive and scientific visualization projects involving linked views, multivariate analytics, contour extraction, and volume rendering.
Tech: D3.js, JavaScript, VTK.js
- PyTorch
- TensorFlow
- Scikit-Learn
- Hugging Face Transformers
- LangChain
- Retrieval-Augmented Generation (RAG)
- Pandas
- NumPy
- SQL
- Power BI
- Data Visualization
- Python
- Java
- JavaScript
- Git
- Linux
🚀 Saudi AI Career Intelligence Platform
📈 Power BI labor market analytics dashboards
🤖 Retrieval-Augmented AI applications
- Applied machine learning and LLM research
- AI safety and alignment experimentation
- Data analytics and visualization
- Web-based software systems
- Decision-support applications
- End-to-end AI project development
Building practical AI and data-driven solutions that create measurable impact.