Summary
Basem Dabbour is a Berlin-based data scientist and AI researcher with eight years of cross-disciplinary experience spanning cybersecurity, blockchain research, and generative AI for design. He has led machine learning efforts at yoona.ai to create near-photorealistic fashion designs and automated 2D-to-3D pipelines, and previously translated Ethereum analytics and forecasting models into practical SME-focused blockchain pilots at Beuth University. Comfortable bridging research and product, he has managed technical teams deploying security solutions, run business intelligence operations, and driven technology transfer between startups and corporates. A visual artist and AI art creator, Basem pairs creative sensibilities with rigorous modeling—bringing novel aesthetic insight to technically complex ML systems.
8 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Network Engineering (IT), Bachelor's degree, Network Engineering (IT) at Arab International University (AIU)
ABP Diploma in international business skills, International Business, ABP Diploma in international business skills, International Business at Al Dar University College
Master of Science - MS, Data Science, Master, Master of Science - MS, Data Science, Master at Beuth University of Applied Sciences Berlin (formerly Technische Fachhochschule Berlin)
Arabic, English, German