Marco Caballero is an applied scientist with 12 years of experience bridging robotics and AI, currently advancing embodied intelligence at Wayve after research roles at Microsoft Research focused on data-centre automation. He holds a PhD in Computer Science from the University of Cambridge and combines deep academic expertise with systems-level engineering experience from Oracle and early software roles. His work centers on reasoning algorithms and foundational models that improve robots’ long-horizon planning, spatial reasoning, dexterity, and safety across multi-agent settings. Comfortable in low-level C/PLSQL systems as well as cutting-edge embodied AI research, he brings a rare blend of production-hardened software engineering and experimental robotics research. An understated strength is his track record of reducing system complexity—improving build and scheduler reliability earlier in his career—which informs pragmatic, scalable research-to-product transitions.
12 years of coding experience
15 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at University of Cambridge
Master of Science (MSc) Computer Science, Master of Science (MSc) Computer Science at ITESO Universidad Jesuita de Guadalajara
Contributions:5 pushes, 1 branch in 3 years 7 months
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