Leo Dirac is a CTO and co-founder with 13+ years of deep experience building ML infrastructure and shipping production AI, currently leading Groundlight AI to teach robots to understand the world. He helped pioneer deep learning adoption at Amazon—driving early DL projects, architecting distributed training for SageMaker, launching AutoML features, and influencing GPU offerings and open-source strategy. His technical expertise spans AutoML, neural network optimization, distributed training, and practical ML across vision, NLP, and RL, paired with product instincts from roles at Google and RealNetworks. A Harvery Mudd-trained applied physicist with an MBA in entrepreneurship, he blends research-level depth with hands-on engineering and a bias for high-leverage problems that improve society. An uncommon trait: he reads and curates ML science widely while publishing little, preferring to translate insight into systems and products.
13 years of coding experience
17 years of employment as a software developer
MBA Entrepreneurship, MBA Entrepreneurship at University of Washington
BS Applied Physics, BS Applied Physics at Harvey Mudd College
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