Building reliable, evidence-grounded AI systems.
I design, build, and evaluate AI systems across retrieval, computer vision, language, and decision-support workflows, with an emphasis on clarity, reliability, and practical use.
Projects that show how I approach AI systems.
A selection of work across RAG, computer vision, model evaluation, and practical software workflows. Each case study explains the problem, implementation choices, results, and limitations.
GovRAG Copilot
AI system for decision-support workflows where outputs need structure, traceability, and careful evaluation.
Frequency-Aware Deepfake Detection
Research-oriented AI evaluation project focused on robustness, dataset shift, and performance under degraded inputs.
PPE Safety Detection
Visual-intelligence system focused on workplace safety, real-time detection, privacy-aware outputs, and practical monitoring workflows.
A systems perspective from problem definition to evaluation.
My Information Systems foundation keeps the focus on users, data flow, maintainability, and decisions. My AI work adds modeling, experimentation, implementation, and structured evaluation.
Information Systems foundation. Advanced AI specialization.
Professional Master in AI
King Abdulaziz University, 2026. Advanced study in machine learning, intelligent systems, and applied AI.
Bachelor in Information Systems
King Khalid University, 2020. Foundation in systems analysis, databases, and organizational workflows.
Project portfolio
Work spanning RAG, computer vision, language systems, security analytics, generative AI, and data modeling.
Looking for an AI engineer who can connect models, systems, and practical use?
I am interested in full-time roles and technical collaboration in AI systems, applied machine learning, RAG, computer vision, and model evaluation.