Chong Zhou

Applied Scientist at Splunk

Greater Seattle Area United States
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Summary

👤
Senior
🎓
Top School
Chong Zhou is a Principal Engineer specializing in AI/ML software with a decade of experience building production-grade time-series, anomaly, and drift-detection systems for enterprise-scale telemetry. He has driven measurable impact at Splunk—shipping a decoder-based time-series foundation model, an LLM-agent for automated root-cause analysis that cut investigation time from hours to minutes, and production drift/anomaly frameworks that reduced false positives for customers. Prior roles at Meta and Microsoft applied ML to large-scale caching, pricing, and device-driver risk problems, and his academic background includes a PhD in Data Science from Worcester Polytechnic Institute. Based in the Greater Seattle Area, he blends research rigor with pragmatic engineering, often translating advanced smoothing and calibration techniques into shipped features; intriguingly, his GitHub bio simply reads "An anomaly," hinting at both domain focus and a dry sense of humor.
code10 years of coding experience
job7 years of employment as a software developer
bookDoctor of Philosophy - PhD Data Science, Doctor of Philosophy - PhD Data Science at Worcester Polytechnic Institute
bookBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at Southwest University
languagesChinese, English
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Github Skills (15)

pca10
unsupervised-learning10
feature-extraction10
autoencoder10
google-colaboratory9
python5
machine-learning5
unlock5
deep-learning3
pytorch3
tensorflow2
keras1
science1
computer-science1
data-science1

Programming languages (1)

Jupyter Notebook

Github contributions (5)

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zc8340311/notes-python

Mar 2018 - Mar 2021

中文 Python 笔记
Contributions:2 PRs, 1 push in 3 years
pythonunlock
Contributions:6 PRs, 5 pushes, 1 comment in 5 years 3 months
pythondata-sciencedeep-learningmachine-learningawesome-machine-learning
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Chong Zhou - Applied Scientist at Splunk