Journey
I am a passionate AI and Machine Learning Engineer with a strong track record of building end-to-end, production-ready solutions across healthcare, education, and business domains. My work sits at the intersection of advanced analytics, intelligent systems, and scalable software engineering, with a consistent focus on delivering measurable impact.
I bring hands-on expertise in machine learning, NLP, and computer vision, complemented by full-stack development experience using React, Node.js, and Django. In parallel, I leverage Business Intelligence tools such as Power BI and Tableau to convert complex datasets into clear, decision-driven insights that support both technical and executive stakeholders.
I have led and contributed to AI-powered platforms spanning medical diagnosis, radiology analysis, mental health chatbots, and Arabic OCR systems, taking solutions from concept and data design through model development, deployment, and user-facing integration. My experience includes working with real-world data, managing technical teams in a startup environment, and aligning AI development with product and business objectives.
My background is reinforced by published research and strong performance in national and international AI competitions, reflecting both technical depth and execution discipline. I am driven by a long-term vision of building intelligent systems that scale responsibly and solve meaningful real-world problems.
I am seeking to contribute to data-driven, innovative organizations where AI is treated not as an experiment, but as a core driver of sustainable value and competitive advantage.
Design and develop AI-driven systems that integrate machine learning, data engineering, and applied research to enhance human decision-making, improve operational efficiency, and deliver scalable real-world impact across complex environments.