Summary
Lingxiao Gao is an application engineer with 10 years of experience applying computer vision, deep learning, and machine learning to industrial problems across semiconductor and mineral-processing domains. He has led an industrial AI project to correct lithography image errors for chip fabrication and built a real-time CNN-based vision system for ball mill discharge monitoring, demonstrating an ability to take models from data collection to online deployment. Combining engineering training from The University of Queensland with hands-on roles in cross-functional teams, he excels at project management, resource optimization, and standardizing procedures across sites. Comfortable working between research and production, he designs hybrid solutions that blend AI models with rule-based systems to meet strict industrial constraints. Based in Pudong, Shanghai, Lingxiao is eager to join expert teams where he can both learn and introduce novel, production-ready vision solutions. An understated trait: he balances technical rigor with pragmatic process improvements that accelerate adoption on the factory floor.
10 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering (Honours), Electrical Engineering, Bachelor of Engineering (Honours), Electrical Engineering at The University of Queensland
Diploma of Engineering, Electrical Engineering, Diploma of Engineering, Electrical Engineering at Queensland University of Technology
english 英语, chinese 中文