Shengjie Zhu is an Applied Scientist at Amazon Ring AI with nine years of experience bridging academic research and product-focused ML engineering. He completed a Ph.D. in Computer Science at Michigan State University under Xiaoming Liu, specializing in 3D vision topics such as depth estimation, camera calibration, image correspondence, and multi-view pose estimation. Shengjie has interned twice at Amazon Lab126 and most recently at Google, bringing research-grade vision algorithms into real-world camera systems. Based in Sunnyvale, he blends front-end development interests from his GitHub with deep expertise in geometric vision, making him adept at both prototyping interactive tools and scaling vision models for embedded devices. Notably, his work emphasizes practical calibration and correspondence methods that improve robustness in consumer camera pipelines.
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