Eltayeb Ahmed is a PhD candidate and machine learning engineer based in London with nine years of experience building research-driven AI systems and production analytics. He currently researches System 2–like reasoning for large language models at Oxford’s FLAIR lab, bringing a practitioner’s attention to scalable experimental design from prior roles at Google and Meta AI. At Google he built analytics infrastructure for deployed AI and led a recommender research collaboration for education, while at Facebook AI he developed a state-of-the-art method for leveraging observation sequences to improve model-free agents. His background blends deep learning, reinforcement learning and strong software engineering practices, grounded in an MS in Machine Intelligence and a software-focused BSc in Electrical and Electronics Engineering. Colleagues describe him as a “tamer of models” who enjoys turning theoretical insight into reproducible systems and shipping end-to-end solutions. Notably, his work spans small- and large-scale experiments and emphasizes bridging empirical research with production readiness.
9 years of coding experience
2 years of employment as a software developer
Bachelor of Science (Honours) - BSc (Hons) Electrical and Electronics Engineering (Software Specialization), Bachelor of Science (Honours) - BSc (Hons) Electrical and Electronics Engineering (Software Specialization) at University of Khartoum
Master of Science - MS Machine Intelligence, Master of Science - MS Machine Intelligence at AMMI AIMS
Contributions:12 commits, 10 pushes, 1 branch in 16 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.