Wei Bai
Member Of Technical Staff at Microsoft AI
Redmond, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolWei Bai is a Member of Technical Staff at Microsoft SuperIntelligence with 12 years of experience building high-performance networking and infrastructure for large-scale AI systems. He has driven end-to-end network architecture and software at NVIDIA and Microsoft Research, contributing to RDMA deployments that handle a majority of Azure traffic and to SpectrumX-class solutions for AI supercomputers. A PhD in computer science from HKUST, Wei blends deep research with hands-on engineering—authoring test automation and backend/DevOps work for SONiC networking projects, including chassis and VXLAN enhancements. He excels at moving proofs-of-concept into production-grade network stacks and is comfortable across QA, backend, and systems architecture domains. Notably, his open-source contributions tie lab-scale experiments to real-world data center deployments, reflecting a focus on reliability at hyperscale.
12 years of coding experience
8 years of employment as a software developer
Bachelor of Engineering (B.Eng.) Information Security, Bachelor of Engineering (B.Eng.) Information Security at Shanghai Jiao Tong UniversityHong Kong University of Science and Technology (HKUST)
English, Chinese
Github Skills (20)
docker10
sonic10
pytest10
python10
configuration-management10
dockers10
networking10
devops10
test-automation10
jinja29
yaml9
automations8
apidoc8
api8
automation8
Programming languages (7)
Github contributions (5)
sonic-net/sonic-mgmt
Feb 2020 - Oct 2021
Configuration management examples for SONiC
Role in this project:
QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:250 reviews, 26 commits, 30 PRs in 1 year 8 months
Contributions summary:Wei's contributions primarily focused on enhancing the testing capabilities of the SONiC management project. They implemented and modified various test cases, including those for PFC counters, PFC pause functionality, and ECN features. The user leveraged pytest and a testbed environment, indicating a focus on automated testing and ensuring the reliability of the SONiC configuration management examples. Their work involved creating and running tests using the IXIA Tgen API and updating existing test scripts.
configuration-managementansibleconfigurationsonic
sonic-net/sonic-buildimage
Jan 2019 - Apr 2021
Scripts which perform an installable binary image build for SONiC
Role in this project:Backend Developer & DevOps Engineer
Backend Developer & DevOps EngineerContributions:26 reviews, 10 commits, 11 PRs in 2 years 3 months
Contributions summary:Wei primarily contributed to the SONiC configuration engine, focusing on the backend logic and configuration files. They added support for new hardware chassis types, specifically spine chassis frontend routers. The user also made improvements to the configuration files, including adjustments to the VXLAN configuration and its associated attributes. Furthermore, the user upgraded various dependencies in the docker-sonic-mgmt Dockerfile, notably the Tgen API.
armv6installableimage-buildsonicbinary-image
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