Abdulaziz Alomair

After KAUST Academy

Abdulaziz started as an intern in the Research & Development team at Schneider Electric's Al-Khobar office in August 2025. Abdulaziz graduated from King Fahd University of Petroleum and Minerals with honors in computer engineering in May 2026 and built a GPU-accelerated actuarial reserving engine.

Summer project

Artificial Intelligence Specialization · Cohort 2024

ChartWise: Case-Specific Multimodal Tool for Enhanced Data-Driven Analytics

In response to the growing demand for innovative technological solutions, this project introduces an advanced AI tool designed to streamline data analysis and enhance data-driven decision-making for professionals in finance, business consulting, taxation, law, and other data-intensive fields. The tool features a fine-tuned Vision-Language Model (VLM) that excels at interpreting and analyzing charts, graphs, and other visual data representations. Complementing the VLM is a Retrieval-Augmented Generation (RAG) system, which processes and synthesizes unstructured data from a variety of sources, including documents, reports, and financial statements. By integrating these cutting-edge technologies, the AI tool empowers professionals to efficiently extract and interpret insights from both structured visual data and complex unstructured information. This seamless integration not only improves the accuracy and speed of data analysis but also significantly enhances the quality of decision-making across industries. The project aims to revolutionize how professionals interact with and leverage large datasets, providing them with a robust, AI-driven solution tailored to the demands of modern data analysis.

Read the final report (PDF)

See it in the program report (PDF)

With KAUST Academy

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