Caiqian Cheng

Senior Software Engineer (E5) at Meta

Sunnyvale, California, United States
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Summary

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Senior
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Top School
Caiqian Cheng is a Senior Software Engineer at Meta (WhatsApp) with seven years of experience building production-grade systems across major tech companies. He holds a Master's in Computer Science from UCSD and has augmented his education with an exchange at UC Berkeley and research experience at UCSF, blending strong academic foundations with industry impact. Caiqian’s background spans applied machine learning and systems roles—from applied scientist intern at Tencent Youtu Lab to software internships at Amazon and Intel—giving him a rare mix of ML research intuition and large-scale engineering execution. At Meta he progressed rapidly through E3 to E5, contributing to core product and platform work for messaging at scale. Based in Sunnyvale, he brings cross-cultural experience from studying and working in China and the US, which helps him navigate global engineering challenges. Colleagues describe him as a pragmatic problem-solver who moves seamlessly between prototyping ML ideas and delivering reliable, scalable services.
code7 years of coding experience
job4 years of employment as a software developer
bookExchange student Electrical Engineering and Computer Science, Exchange student Electrical Engineering and Computer Science at University of California, Berkeley
bookMaster's degree Computer Science, Master's degree Computer Science at UC San Diego Jacobs School of Engineering
bookBachelor's degree Electrical and Electronics Engineering, Bachelor's degree Electrical and Electronics Engineering at Southeast University
bookResearch Assistant Peder Larson's Lab, Research Assistant Peder Larson's Lab at University of California, San Francisco
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Stackoverflow

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1reputation
84reached
0answers
1question
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Github Skills (29)

octave9
zenodo9
image-reconstruction9
matlab9
connectivity9
doi9
meta-analysis9
mri9
prototyping8
bids8
imaging8
toolbox8
brain-imaging7
neuroimaging7
rebase6

Programming languages (3)

TeXJupyter NotebookPython

Github contributions (5)

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Contributions:19 pushes, 1 branch in 3 months
The goal of this toolbox is to provide research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB code, and includes code for designing radiofrequency (RF) pulses, readout gradients, data reconstruction, and data analysis.
Contributions:2 pushes, 1 branch in 1 day
neurosciencegradientsgoalreadoutprototyping
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Caiqian Cheng - Senior Software Engineer (E5) at Meta