Trust Stamp
Moayad Elamin is a Machine Learning Engineer and Researcher at Trust Stamp, where expertise is applied to enhance AI-driven cybersecurity solutions. Previously, Moayad served as an Engineering Consultant at RICOS, leading energy and water resource projects while optimizing decision-making through analytical models. Experience includes roles as a Graduate Teaching Assistant at Carnegie Mellon University and Carnegie Mellon University Africa, supporting deep learning education and onboarding new students. Moayad's early career includes positions as an ICT Teacher at Ivory Private School and a Machine Learning Engineer at Innovation Baylasan, focusing on data pipeline management and innovative research initiatives. Moayad holds a Master of Engineering in Artificial Intelligence from Carnegie Mellon University and a Bachelor of Science in Electrical and Electronics Engineering from the University of Khartoum.
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Trust Stamp
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Trust Stamp is a global provider of AI-powered identity services for use in multiple sectors including banking and finance, regulatory compliance, government, real estate, communications, and humanitarian services. Trust Stamp's technology empowers organizations with biometric identity solutions that reduce fraud, protect personal data privacy, increase operational efficiency and reach a broader base of users worldwide through unique data transformation and comparison capabilities.