Alex Yang
Deep Learning Library Engineer at NVIDIA
California, United States
Summary
👤
Senior🎓
Top SchoolAlex Yang is a Deep Learning Library Engineer with 12 years of experience, blending PhD-level computer vision research with hands-on engineering at NVIDIA. He develops and optimizes superpixel-based neural architectures for monocular depth estimation and remote sensing, and brings deep expertise in GPGPU, HPC, multiprocessing/IPC, cloud computing, and DevOps to production ML systems. His background as a graduate researcher and data science TA sharpened his ability to wrangle large, multimodal datasets and translate experimental ideas into scalable implementations. Based in California, he is equally comfortable in research and production environments, often focusing on performance-critical library work that bridges novel models and GPU-accelerated deployment.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at East China University of Science and TechnologyUniversity of Missouri
Github Skills (73)
python10
deep-learning10
ml10
neural-network10
data-science10
binding10
tensorflow10
machine-learning10
deep-neural-networks10
gatsby9
ffi9
docker9
react9
graphql9
kubernetes9
Programming languages (8)
Github contributions (5)
aleozlx/playbook-rs
Oct 2018 - Apr 2019
Contributions:3 releases, 245 commits, 129 pushes in 6 months
aleozlx/sprinkler-k8s
Jun 2019 - Jul 2019
Contributions:132 pushes, 1 branch in 23 days
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