Ivy Zhong is a software engineer with nine years of experience building backend systems, computer vision pipelines, and machine learning infrastructure, currently engineering at Meta in Redwood City. She holds an MS in Robotics from Carnegie Mellon and a BS in Electrical, Electronics & Communications, blending strong theory in CS, math, and statistics with practical skills in Python, C++, and Java. At Magic Leap she developed ground-truth data capture systems integrating Vicon motion capture, LIDAR, and robotics to produce verified perception datasets, demonstrating expertise at the intersection of sensors and perception. Her background includes robotics research and applied automation—she even prototyped a vision-guided dual-arm robot to brew coffee—reflecting a knack for turning research ideas into physical systems. Ivy excels at collaborating across perception and ML teams to deliver high-quality datasets and tools that scale to production needs.
9 years of coding experience
4 years of employment as a software developer
Bachelor’s Degree Electrical Electronics and Communications Engineering, Bachelor’s Degree Electrical Electronics and Communications Engineering at Nanjing University of Science and Technology
Master of Science in Robotics Technology, Master of Science in Robotics Technology at Carnegie Mellon University
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