Summary
Antonio Guillen-perez is a Senior Machine Learning Engineer in the San Francisco Bay Area with a Ph.D. and a decade of experience applying RL, generative models, and scalable ML systems to autonomous systems and robotics. At Uber AV Labs he focuses on mining long-tail, high-value edge cases from petabyte-scale driving logs using foundation models, flow matching, and vision-language approaches to improve AV safety. Previously at HPE AI Labs he co-designed open-source simulation environments for MARL and built distributed RL infrastructure that scaled to hundreds of workers, earning a NeurIPS workshop award and contributing a patent. His academic work blends telecommunications, multi-agent RL, and 5G-enabled vehicle coordination, and he has applied deep learning to biomedical signal detection with published results. Known for bridging rigorous research with production-grade systems, he’s particularly adept at turning complex simulations and rare-event data into robust, deployable models.
10 years of coding experience
8 years of employment as a software developer
Bachelor, Science and Technologies, Bachelor, Science and Technologies at IES Dr. Pedro Guillén (Archena -Murcia)
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Universidad Politécnica de Cartagena
English, Spanish