Daniel Munoz is a seasoned professional in the AI industry, boasting over 10 years of experience focused on autonomous vehicles. Daniel served as the Head of Onboard Perception at Aurora from 2017 to 2022, leading a team of over 50 engineers in developing perception algorithms for the Aurora Driver. Currently, Daniel is the Director of Machine Learning & Perception at Overland AI, where they work on off-road autonomous vehicles. Daniel’s academic journey at Carnegie Mellon University includes both a PhD and a Bachelor of Science degree, with prior roles in organizations such as Google and Uber, where they contributed to machine learning initiatives for self-driving technology. Additionally, Daniel undertook a sabbatical between 2022 and 2023 for self-funded research in deep learning optimization.
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