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Dr. Mohamed is based in the US and holds a PhD in Engineering & Statistics. He leads behind-the-scenes AI training work within his specialties to help frontier models perform reliably in the real world.
He’s managed training projects for major frontier AI labs, focused on strengthening accuracy, robustness, and safety when the model meets ambiguity, edge cases, and high-stakes use.
He believes the future of AI won’t be defined by scale alone, but by domain experts who can define what “good” truly means, catch failures early, and guide systems toward outcomes industries can depend on.
On Hyta, Shapers like Dr. Mohamed help strengthen the quality of RL-based training for mission-critical sectors.