Summary
Yinglong Miao is a robotics-focused software engineer and researcher with nine years of experience building intelligent systems that bridge academic rigor and production deployment. He has driven end-to-end robotics and ML solutions—from low-level controllers and ROS middleware to high-level motion planning and deployed models—at organizations including Siemens, UC San Diego, Rutgers, and Tutor. His work on robotic manipulation, task-and-motion planning, and sensor fusion has produced peer-reviewed publications (two as first author) and practical pipelines for complex tasks like precision grasping and insertion. Proficient in Python, C++, ROS, PyTorch, and TensorFlow, he is comfortable managing large codebases and integrating cameras, ArUco-based pose estimation, and robotic arms into reliable systems. Based in Greater Boston, Yinglong combines multidisciplinary collaboration with a persistent curiosity for the latest AI/ML advances and seeks mission-driven roles that translate research into impactful products.
9 years of coding experience
The Chinese University of Hong Kong (CUHK)
University of California, San Diego
Bachelor, 情報科学, Bachelor, 情報科学 at Kyoto University
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at Rutgers University