Chenguang Zhang is a software engineer with a decade of experience combining computer vision, mobile development, and accessible software design. He holds an MS in Computer Engineering from UMass Amherst and built vision-based indoor localization systems using COLMAP and C++ web services tied to Azure Blob storage during his graduate research. At the Institute of Automation (CAS) he implemented patented image segmentation tools for medical use and trained advanced object detectors, and he now applies that expertise at Tencent. Comfortable across hardware and software boundaries, he is proficient in Python and Java and known for writing efficient, production-ready code. He brings a research-informed approach to practical engineering problems, with a track record of translating state-of-the-art ML papers into working systems.
10 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Computer Engineering, 3.6, Master of Science - MS, Computer Engineering, 3.6 at University of Massachusetts Amherst
Bachelor of Science - BS, Electrical Engineering and Automation, 3.7, Bachelor of Science - BS, Electrical Engineering and Automation, 3.7 at Shandong University of Technology
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