Ruiqi Hu
Software Engineer at Meta
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolRuiqi Hu is a software engineer with a decade of experience building reliable infrastructure and recovery systems for large-scale cloud and monetization platforms. Currently at Meta on Monetization - Signals, he focuses on delivering data-driven features that power revenue-critical workflows. Prior to Meta he helped maintain Oracle Cloud Infrastructure’s VM fleet and led hypervisor/virtual machine auto-recovery efforts to improve availability and operational efficiency. Ruiqi holds an MS in Electrical and Computer Engineering from Carnegie Mellon and brings a rigorous analytical approach grounded in both systems engineering and applied research. Based in the Greater Seattle Area, he combines hands-on low-level infrastructure expertise with production-scale service delivery. Colleagues describe him as methodical and pragmatic, often uncovering subtle failure modes before they impact customers.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Carnegie Mellon UniversityBachelor of Engineering - BE Polymer/Plastics Engineering, Bachelor of Engineering - BE Polymer/Plastics Engineering at Zhejiang University
Japanese, English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (14)
pan9
autoencoder9
kernel-methods9
graph-embedding9
embedding7
pdf7
graph6
google-translate6
deep-learning5
machine-learning5
tensorflow4
translate3
translation3
google2
Programming languages (1)
Github contributions (5)
TrustAGI-Lab/ARGA
Jul 2018 - Jan 2019
This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., Hu, R., Long, G., Jiang, J., Yao, L., & Zhang, C. (2018). Adversarially Regularized Graph Autoencoder for Graph Embedding, [https://www.ijcai.org/proceedings/2018/0362.pdf].
Contributions:19 commits, 18 pushes, 1 branch in 5 months
autoencoderproceedingspdfdeep-learningijcai
Ruiqi-Hu/anti-cyberbullying-data-processing-for-algorithm
Mar 2017 - Jun 2017
Contributions:16 pushes, 1 branch in 2 months
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