Zaid Gharaybeh is a Machine Learning Engineer in San Diego with eight years of experience bridging research-grade robotics and production ML systems. He builds interactive and reinforcement learning solutions and previously developed ROS architectures, motion and path planning, and adaptive control for hydraulic manipulators in dynamic environments. At MINDBODY he applies ML engineering practices to product-scale problems, drawing on a strong academic foundation from a Master's in ECE at the University of Washington and a high-achieving EE/CE undergraduate background. Comfortable moving from low-level control and real-time systems to Python-based ML pipelines, he brings a rare blend of hands-on robotics research and practical software delivery. Colleagues can expect a focus on interactive learning problems informed by real-world constraints and a track record of shipping functional research prototypes into engineering contexts.
8 years of coding experience
3 years of employment as a software developer
Master's degree, Electrical and Computer Engineering, Master's degree, Electrical and Computer Engineering at University of Washington
Bachelor of Science - BS, Electrical Engineering - Computer Engineering Track, Magna Cum Laude - GPA: 3.87, Bachelor of Science - BS, Electrical Engineering - Computer Engineering Track, Magna Cum Laude - GPA: 3.87 at Ohio University
Contributions:408 pushes, 1 branch in 5 years 3 months
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Zaid Gharaybeh - Machine Learning Engineer at MINDBODY