Corey Hulse is a Graphics DV Machine Learning Engineer on the AGX GPU team in Austin with a decade of hands-on experience bridging embedded systems, data science, and automation. He holds a BS and MS from UT Austin in Electrical and Computer Engineering and has a track record of designing robust data pipelines, real-time systems, and hardware-in-the-loop test platforms for mission-critical applications. At Apple he applies low- and high-level programming fluency to verification and ML-driven graphics validation, drawing on prior roles building embedded firmware, automation tooling, and swarm robotics algorithms. Known for turning complex distributed and embedded requirements into practical, auditable systems, he also brings experience leading cross-functional teams and producing technical training and documentation. A background in solar car and rocket lab leadership signals hands-on systems integration skills rarely seen in pure software engineers.
9 years of coding experience
1 year of employment as a software developer
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at The University of Texas at Austin
Bachelor’s Degree, Robotics Technology/Technician, Sophomore, Bachelor’s Degree, Robotics Technology/Technician, Sophomore at Arizona State University
Creating an environment to quickly train a variety of Deep Reinforcement Learning algorithms on Street Fighter 2 using tournaments between learning agents
Contributions:4 commits, 2 PRs, 17 pushes in 2 years 4 months
Contributions:98 pushes, 1 branch in 2 years 6 months
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