Daniel Hunter
About Daniel Hunter
Daniel Hunter serves as the Head of AI Engineering at Harvey, where he focuses on enhancing productivity through advanced neural networks. He has a background in machine learning and has held positions at notable companies such as Tesla and Twitter.
Current Role at Harvey
Daniel Hunter serves as the Head of AI Engineering at Harvey, a position he has held since 2024. His role involves overseeing the development of AI systems that enhance human-machine collaboration. He has been instrumental in leveraging big neural networks to improve productivity within the engineering team. His transition from Founding Research Scientist to Head of AI Engineering reflects a rapid career progression within the organization.
Previous Experience at Tesla
Before joining Harvey, Daniel Hunter worked at Tesla as a Senior Machine Learning Scientist on the Autopilot Vision Team from 2019 to 2022. During his three years at Tesla, he contributed to advancements in machine learning technologies that support autonomous driving features. His experience at Tesla provided him with a strong foundation in AI applications within the automotive industry.
Educational Background
Daniel Hunter has a diverse educational background in AI and robotics. He studied at Udacity, where he completed the Self Driving Car Engineer Nanodegree in 2018, and the Intro to Self Driving Cars Nanodegree in 2017. Additionally, he achieved a Deep Learning Fellowship from the University of San Francisco in 2018. He is currently pursuing a Bachelor of Science in Robotic Engineering at the University of California, Santa Cruz, which he began in 2018.
Career Progression and Roles
Daniel Hunter has held various roles in the AI and machine learning sectors. He worked briefly at Twitter as part of the Transition Team in 2022 and served as a RLHF Fellow at Scale AI for one month in the same year. Prior to his tenure at Tesla, he was a Software Engineer at DeepScale from 2018 to 2019 and completed a Platform Internship at UpGuard in 2017. His career reflects a strong focus on machine learning and AI technologies.