Summary
Weichen Zhang is a Senior Computer Vision Engineer and PhD from the University of Sydney with a decade of experience bridging cutting-edge research and production-grade systems. He has driven R&D in 3D vision across academia and industry—from postdoctoral work on large-scale forestry point cloud segmentation using synthetic data and domain adaptation to leading engineering teams building mobile 3D body-scanning pipelines and AWS MLOps at Bodymapp. His publications include multiple top-tier CVPR and journal papers, alongside a published and a pending US patent, reflecting a strong track record of translating novel algorithms into deployable products. Skilled in Python, C++, Matlab, Linux and cloud-native tooling (S3, EC2, Terraform), he focuses on optimizing accuracy and runtime for 2D/3D deep learning systems and maintaining continuous annotation and CI/CD pipelines. Notably, his work tackles real-world sensor variability and domain shift—making high-precision 3D measurement robust across diverse devices and natural environments.
10 years of coding experience
4 years of employment as a software developer
High School Biology IT, High School Biology IT at High School Affiliated to Nanjing Normal University
The University of Sydney
English, Chinese