Summary
Cao Dong is a mechanical engineer with four years of professional experience designing automated manufacturing equipment and systems, currently working at KLA and pursuing graduate studies at Stanford. He has a strong background in automated barfeeder and unloader product development, PLC and servo control integration, and multi-spindle rotary-transfer machine design from seven years at Edge Technologies. His academic work blends mechanical engineering with machine learning and computer vision—his graduate research on sign language recognition using depth sensors earned a Best Paper Award and 180+ citations—showing an ability to bridge hardware, controls, and intelligent algorithms. Comfortable with both hands-on field service and coordinating international suppliers, he focuses on practical, cost- and quality-driven solutions for metal-cutting and automation customers. Based in Milpitas, CA, he combines rigorous engineering training (M.S. with 3.9 GPA) with system-level thinking from a Stanford systems engineering certificate.
4 years of coding experience
9 years of employment as a software developer
Graduate Certificate, Systems Engineering, Graduate Certificate, Systems Engineering at Stanford University
Master’s Degree, Mechanical Engineering, GPA 3.9, Master’s Degree, Mechanical Engineering, GPA 3.9 at University of Missouri-Rolla
Bachelor’s Degree, Automotive Engineering, Bachelor’s Degree, Automotive Engineering at Shandong University of Science and Technology
English, Chinese