Xiaoqing Zhou
Software Engineer at Amazon
Boulder, Colorado, United States
Summary
👤
Senior🎓
Top SchoolXiaoqing Zhou is a software engineer and former physicist with a decade of experience building data-intensive systems and five years focused on image data, machine learning, and big‑data tooling. Skilled in Python, Java, JavaScript/TypeScript, C#, PHP, SQL and shell, Xiaoqing has deployed scalable ML inference and real‑time ingestion pipelines using AWS, ZeroMQ, Spark and TensorFlow. His background includes GPU-accelerated image processing and a provisional patent from academic research, which informs pragmatic, performance-minded solutions in production settings. He's worked across industries—from life sciences at Verily to commerce at Wayfair and enterprise services at Justworks—and recently joined Amazon, bringing an experimental scientist's rigor to software engineering. Colleagues describe him as a long-range thinker (Github: "Think big think long") who connects deep analytics with reliable engineering.
10 years of coding experience
6 years of employment as a software developer
M.Sc. Quantum Information, M.Sc. Quantum Information at WIPMB.Sc. Physics, B.Sc. Physics at University of Science and Technology of ChinaPh.D. Condensed Matter and Materials Physics, Ph.D. Condensed Matter and Materials Physics at Simon Fraser University
Github Skills (143)
transformers10
language-model10
python10
deep-learning10
compression10
sequence-to-sequence10
autoencoder10
conformer10
ctc10
neural-network10
transformer10
nlp10
artificial-intelligence10
data-science10
tensorflow10
Programming languages (6)
Github contributions (5)
Qnlp/fairseq
Aug 2019 - Sep 2020
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Contributions:4 PRs, 2 pushes in 1 year
nlpsequencepythonmachine-learningfacebook
Qnlp/Dependency_Tree
Apr 2018 - Jan 2019
Contributions:4 commits, 3 pushes, 1 branch in 9 months
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