Andrei Margeloiu is an AI researcher and machine learning engineer with a PhD from the University of Cambridge and ten years of experience building research-driven, production-grade systems. He combines deep ML theory—published at NeurIPS, ICML, AAAI and TMLR—with applied quant experience, having developed a Citadel trading algorithm that took positions exceeding €100M. At Project Prometheus he now applies generative and predictive AI to redesign how we engineer the physical world, with prior work spanning lossless image compression, tabular neural methods, and large-scale ML infrastructure. A decorated competitive programmer and educator, he led a Google HashCode World Finals team and created a C++ algorithms course with 120k+ learners, reflecting his knack for translating hard technical ideas into practical tools. His profile blends rigorous research, demonstrated production impact, and a talent for communicating complex concepts to broad audiences.
10 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science (Machine Learning), Doctor of Philosophy - PhD, Computer Science (Machine Learning) at University of Cambridge
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