Weibing Wang

Senior Research Manager at Concordia AI 安远AI

Haidian District, Beijing, China
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Summary

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Top expert inHigh-Performance Computing and Networking Technologies
Weibing Wang is a Senior Research Manager with 11 years of experience building high-performance backend systems and AI research capabilities, currently leading research at Concordia AI in Beijing. Before this, he spent over a decade at Baidu as a Senior R&D Engineer and worked as an AI safety researcher, bridging applied engineering with responsible AI practices. He holds a physics degree from Peking University, bringing a strong analytical foundation to system design and model evaluation. An active open-source contributor, he has improved industrial-grade C++ RPC frameworks (apache/brpc), fixing memory leaks and adding protocol features that aid reliability and debugability. Colleagues describe him as a pragmatic problem-solver who combines low-level systems expertise with research-driven thinking to move ideas into production.
code11 years of coding experience
job14 years of employment as a software developer
bookBachelor's degree, Physics, Bachelor's degree, Physics at Peking University
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Github Skills (7)

rpc10
c-language10
cprogramming-language10
networking9
licensing8
key-management8
rights-management8

Programming languages (6)

TypeScriptC++CSSJavaScriptHTMLPython

Github contributions (5)

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apache/brpc

Jun 2019 - Jan 2023

brpc is an Industrial-grade RPC framework using C++ Language, which is often used in high performance system such as Search, Storage, Machine learning, Advertisement, Recommendation etc. "brpc" means "better RPC".
Role in this project:
userBack-end Developer
Contributions:1 release, 332 reviews, 106 commits in 3 years 7 months
Contributions summary:Weibing primarily contributed to updating and maintaining the Apache license headers across multiple source files, ensuring the correct legal attribution for the project. They addressed a memory leak issue within the `Socket::WaitAndReset` function, improving resource management. Additionally, they implemented the delivery of timeout information from the client to the server for the baidu_std protocol, along with modifying related controller and selective channel files, improving the RPC framework's functionality. They also worked on supporting nshead protocol dump and replay functionality.
cppmachine-learningrpc
wwbmmm/incubator-brpc

Jun 2019 - Jun 2026

Industrial-grade RPC framework used throughout Baidu, with 1,000,000+ instances and thousands kinds of services, called "baidu-rpc" inside Baidu.
Contributions:40 pushes, 83 branches in 7 years 1 month
rpc
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