Husni Almoubayyed is Director of AI Engineering at Carnegie Learning, leading the development and deployment of award-winning generative AI products like LiveHint AI and scaling ML-driven instructional tools. With a PhD in Physics from Carnegie Mellon, he blends rigorous research—publishing widely on reading-ability prediction and algorithmic fairness—with product-focused engineering that informs classroom and district-level decision-making. He has architected robust models for knowledge tracing, embeddings for standards alignment, and practical evaluations that bridge research and customer-facing integrations. His background in astrophysics and contributions to the Core Cosmology Library reflect deep experience building numerically validated software used by large scientific communities. Based in Dubai, he pairs 11 years of cross-disciplinary experience with hands-on mentorship, having guided interns and technical teams through productionizing complex AI systems. Less obvious: he translates techniques from cosmology and experimental physics into reproducible education-technology pipelines that emphasize fairness and generalizability.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Carnegie Mellon University
BSc (Hons) Physics & Astrophysics, BSc (Hons) Physics & Astrophysics at University of Glasgow
Contributions:2 PRs, 333 pushes, 1 branch in 3 years 4 months
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Husni Almoubayyed - Director Of AI Engineering at Carnegie Learning