Xing Huang is a machine learning engineer based in Chongqing with 11 years of professional experience and a background in landscape architecture (Master’s, Kansas State University). He bridges spatial design sensibilities with data-driven ML and deep learning interests, applying analytical rigor honed in landscape projects to model development and problem framing. His portfolio showcases multidisciplinary work that blends visual presentation and technical experiments, reflecting a practiced eye for both aesthetics and algorithmic detail. Comfortable working between research-style exploration and applied engineering, he brings a unique cross-domain perspective to machine learning initiatives.
11 years of coding experience
Master's degree, Landscape Architecture, Master's degree, Landscape Architecture at Kansas State University
Contributions:59 commits, 2 PRs, 42 pushes in 13 days
imagenettraintensorflow
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