Chenguang Yang is a Senior Data Scientist in the San Francisco Bay Area with 11 years of experience turning raw data pipelines into production ML and computer vision systems. He blends strong engineering chops (C++, Linux, Git) and cloud/data-platform experience (SQL, Hadoop, AWS) with hands-on deep learning practice in Python using TensorFlow, Keras and OpenCV to move models from research to product. His background spans gaming, startups, and retail innovation—ships include simulation and game-economy models at Pixel United, 3D reconstruction research at HOVER, and applied innovation at Lowe’s Innovation Labs. A Tsinghua and Stanford-trained engineer who completed Udacity’s AI nanodegree, he’s comfortable collaborating with data engineers and product teams to upgrade platforms and operationalize ML. Notably, he leverages his product and quantitative roots to favor pragmatic, deployable solutions over academic prototypes.
11 years of coding experience
10 years of employment as a software developer
Nanodegree, Artificial Intelligence, Nanodegree, Artificial Intelligence at Udacity
B.S., Industrial Engineering, 88/100, B.S., Industrial Engineering, 88/100 at Tsinghua University
M.S., Management Science and Engineering, 4.0/4.3, M.S., Management Science and Engineering, 4.0/4.3 at Stanford University
Contributions:21 commits, 16 pushes, 1 branch in 3 months
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