Patrick Grady is an AI research scientist at Meta and a PhD candidate in Robotics at Georgia Tech with a decade of experience building perception and assistive-robotics systems. His work spans real-world computer vision for hand-object interaction, force and contact estimation from RGB video, and research-grade robotics for healthcare applications. He has contributed to Reality Labs internships at Facebook, interned at NVIDIA on high-speed signaling analytics, and led a student engineering team that set multiple Guinness World Records for ultra-efficient vehicles. Comfortable moving between hardware, control systems, and ML, he combines rigorous experimental methodology with systems-level engineering. Based in Seattle, he brings a proven track record of translating academic research into practical, high-impact prototypes and products. An understated strength is his hands-on experience integrating mechanical, electrical, and ML components to deliver end-to-end robotic systems.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Electrical and Computer Engineering, Bachelor of Science - BS, Computer Science, Electrical and Computer Engineering at Duke University
Master of Science - MS, Computer Science - Machine Learning, Master of Science - MS, Computer Science - Machine Learning at Georgia Institute of Technology
Contributions:109 commits, 85 pushes, 1 branch in 2 years 5 months
electric-vehiclesdukevehicleselectricelectronics
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