Summary
Moayad Elamin is a Machine Learning Engineer and AI researcher with 8 years of experience building scalable, production-ready AI systems at the intersection of cybersecurity and identity protection. Currently at TrustStamp, he designs robust datasets and deploys models that harden identity management against fraud while improving backend performance for scalable operations. A Carnegie Mellon MEng in Artificial Intelligence, he has driven multilingual speech-to-text research impacting millions of users and taught deep learning at CMU, producing tutorials with wide reach. His background spans energy analytics, education, and innovation research—where he cut operational costs by 20% and co-authored published work—showing a rare blend of academic rigor, cross-sector impact, and hands-on engineering. Known for community engagement through Zindi.Africa and Deep Learning Indaba, he combines curiosity-driven research with measurable, real-world outcomes.
8 years of coding experience