Abdullah Alzoubi

Abdullah Alzoubi is an Enterprise Architecture Expert at Kaizen Business Services in Saudi Arabia, specializing in enterprise architecture, digital transformation, and artificial intelligence. He contributes to developing enterprise architecture models, analyzing current and target states, and improving organizational maturity in alignment with the National Enterprise Architecture methodology (NORA). He also has experience in academic research and Large Language Model (LLM) evaluation.

Abdullah contributed to updating enterprise architecture models, conducting gap analysis, and developing improvement plans for the King Fahd Causeway Authority. He also supported the development of digital transformation standards and a unified enterprise architecture practice guide aligned with NORA 2.0. In artificial intelligence, he contributed to Kaizen AI and organized knowledge resources for Large Language Models (LLM). As a Research Assistant, he worked on pneumothorax detection using Machine Learning (ML), Deep Learning (DL), and Chest X-ray (CXR) analysis, contributing to a published research paper. He also evaluated LLM responses and developed the Tanafas website for Chronic Obstructive Pulmonary Disease (COPD) awareness using HyperText Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, and React Native.

Abdullah holds a Bachelor’s Degree in Computer Engineering from the Jordan University of Science and Technology. He is TOGAF® Certified under the TOGAF® Standard, 10th Edition, from The Open Group. He has also completed training in Modern Artificial Intelligence and Entrepreneurship Discovery through Cisco Academy, as well as Machine Learning using Python and Software Quality Assurance from The Hope International Edu.