Summary
Rundong Cao is a computer vision researcher and AI algorithm engineer with nine years of experience building production-grade vision systems, currently focusing on OCR, image classification, detection, video understanding and AIGC at Tencent in Los Angeles. He has delivered high-accuracy document restoration and multilingual text recognition (covering a dozen languages with ~90%+ accuracy) and contributed key modules for text-to-video, subtitle and decorative-text detection used across PCG business lines. Prior roles at TAL and 17zuoye involved deploying deep learning at scale for education products, large-scale image retrieval and OCR, showing a strong track record of moving research into robust applications. Trained in electrical engineering at USC and HUST, he combines solid theoretical grounding with practical engineering skills in data analysis, mathematical modeling and web-enabled AI systems. Less obvious: he routinely bridges multimodal video labeling, retrieval and production-ready inference, making him effective at end-to-end multimodal pipeline delivery.
9 years of coding experience
2 years of employment as a software developer
Master of Electrical Engineering Electrical and Electronics Engineering, Master of Electrical Engineering Electrical and Electronics Engineering at University of Southern California
Bachelor of Engineering Electronics and Information Engineering, Bachelor of Engineering Electronics and Information Engineering at Huazhong University of Science and Technology
Chinese, Chinese