Weiwei Wang is a Data and Applied Scientist in the San Francisco Bay Area with nine years of experience applying deep learning, machine learning, and GenAI to product and infrastructure problems. Currently at Microsoft after driving catalog imagery and analytics initiatives at Walmart Labs, she combines rigorous academic training from Columbia and UC Berkeley with hands-on production experience. Weiwei has a practical systems edge—contributing to OpenStack Kolla deployments to harden Ceph orchestration—so she bridges model research and real-world scalable infrastructure. Known for liking the “bug that was solved,” she excels at debugging complex data pipelines and turning noisy signals into actionable models and dashboards.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Arts (B.A.), Statistics, Bachelor of Arts (B.A.), Statistics at University of California, Berkeley
Liaoning Province Shiyan High School
Master of science, Data Science, Master of science, Data Science at Columbia University
Kolla provides production-ready containers and deployment tools for operating OpenStack clouds. Mirror of code maintained at opendev.org.
Role in this project:
DevOps Engineer & System Administrator
Contributions:16 commits in 10 months
Contributions summary:Weiwei primarily focused on improving the deployment and configuration of Ceph within the Kolla-ansible environment. They addressed multiple issues related to Ceph, including fixing version dependencies, crush map adjustments, and OSD initialization failures. The user also implemented partition detection and resolved multiple mon deployment failures within the Ceph cluster. Their contributions improved the stability and robustness of OpenStack deployments using Kolla.
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