Zhijia Chen

Research Scientist at Meta

Menlo Park, California, United States
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Summary

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Senior
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Top School
Zhijia Chen is a research scientist and PhD candidate in Computer Science at Temple University with eight years of experience building scalable web data retrieval and ML systems. Currently at Meta, he specializes in mining sequential and structural patterns, NLP, and productionizing models—having improved relational closeness prediction AUC by 4% and engineered feature pipelines from Hive/Presto. He designed a global comment crawler that visits 3,000 news sites daily across 84 regions and refactored monoliths into horizontally scalable backends while reverse-engineering complex comment APIs. Comfortable across Python, C++, Java, PyTorch and SQL ecosystems, he blends rigorous research with hands-on backend engineering and deployment. Notable and less obvious: he pairs academic pattern-mining expertise with practical API-forensics to solve large-scale web retrieval problems.
code9 years of coding experience
job1 year of employment as a software developer
bookDoctor of Philosophy - PhD, Computer and Information Sciences, General, Doctor of Philosophy - PhD, Computer and Information Sciences, General at Temple University
bookBachelor's degree, Electrical, Electronics and Communications Engineering, Bachelor's degree, Electrical, Electronics and Communications Engineering at Harbin Institute of Technology
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Stackoverflow

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Github Skills (35)

pylint8
vscode-extension8
intellisense8
controller7
testing7
openflow7
dotnet7
dotnet-core6
python6
rapid-prototyping5
linter5
vscode5
mininet5
linux5
typescript5

Programming languages (7)

TypeScriptPowerShellJavaC++OCamlJupyter NotebookPython

Github contributions (5)

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Contributions:29 pushes, 2 branches in 5 years 11 months
ZhijiaCHEN/Quagga-on-mininet

Feb 2019 - Jun 2019

Contributions:53 commits, 50 pushes, 2 branches in 3 months
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