Xiang Long

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Summary

🤩
Rockstar
Xiang Long is a software engineer with a decade of experience and a strong academic foundation in computer science (BA, MEng, PhD) from Cambridge and Cornell. Based in Kirkland, he currently contributes to core engineering at Google, bringing research-grade rigor to large-scale product development. Known for a "Learn fast, Think slow" mindset, he blends rapid prototyping with careful systems thinking to solve complex problems. His background suggests deep familiarity with both theoretical foundations and production engineering, making him comfortable across algorithmic research and robust system design. Colleagues would describe him as a thoughtful engineer who leverages academic depth to drive practical, scalable solutions.
code10 years of coding experience
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Github Skills (76)

mxnet10
deep-learning10
caffe10
cluster-manager10
nlp10
artificial-intelligence10
jupyter10
tensorboard10
agent10
chinese-simplified10
jupyter-notebook10
chainer10
resource-management10
ai9
malware9

Programming languages (7)

TypeScriptShellJavaScriptGoJupyter NotebookRubyPython

Github contributions (5)

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SwordFaith/pai

Dec 2020 - Mar 2021

Resource scheduling and cluster management for AI
Contributions:95 pushes, 9 branches in 3 months
schedulingcluster-managementmachine-learningkubernetescluster
本项目将《动手学深度学习》中的Mxnet代码改为Tensorflow2.0实现,项目已得到李沐老师的同意
Contributions:6 PRs, 10 pushes, 1 branch in 20 days
deep-learningmxnettensorflowtensorflow2
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Xiang Long