Hongbo Qin
Software Engineer at Meta
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolHongbo Qin is a software engineer based in Seattle with eight years of experience focused on distributed systems and cloud storage, currently contributing to AI infrastructure at Meta. He brings practical production experience from internships at Meituan-Dianping, Alibaba Cloud (Dragonfly P2P), and AWS where he optimized download performance, designed resilient distributed components in Go, and improved CI/testing to high coverage. Academically strong with a BE from Xidian and graduate work in the U.S., he combines rigorous engineering fundamentals with a track record of shipping end-to-end features—from RESTful APIs and data visualization to P2P file distribution. Notably, his intern work decoupled compute and storage to boost download throughput and applied OOD patterns to improve sustainability and reuse in large open-source projects.
8 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Software Engineer, GPA: 3.9/4.0, Bachelor of Engineering - BE, Software Engineer, GPA: 3.9/4.0 at Xidian UniversityGraduate Preparation Program, Computer Science, 3.82/4.0, Graduate Preparation Program, Computer Science, 3.82/4.0 at University of California, RiversideMaster's degree, Computer Science, Master's degree, Computer Science at Northeastern University
Chinese, English
Github Skills (21)
sdn9
docker-image9
hierarchical9
dragonfly9
multi-layer9
intelligent9
reinforcement-learning8
qos8
simulation8
deep-reinforcement-learning6
cloud-native6
p2p6
docker6
linux6
golang5
Programming languages (5)
Github contributions (5)
qhb1001/SDN-Simulation
Feb 2019 - Feb 2022
Reproduce the Simulation for Software Defined Network(SDN) based on Omnetpp-5.4.1 and Reinforcement Learning Algorithm in paper "QoS-Aware Adaptive Routing in Multi-layer Hierarchical Software Defined Networks: A Reinforcement Learning Approach"
Contributions:5 commits, 3 PRs, 17 pushes in 3 years
multi-layeradaptivehierarchicalsdndeep-reinforcement-learning
qhb1001/qhb1001.github.io
Oct 2018 - Feb 2022
Contributions:114 pushes in 3 years 3 months
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