Regina Wang is a Software Engineer with eight years of experience building and hardening backend systems, currently contributing at Databricks. She has strong hands-on experience in test automation and refactoring large codebases, including contributions to the high-profile Magma project improving WiFi/LTE test coverage and blobstore behavior. Her internships at Facebook, Amazon, and NRL demonstrate an ability to scale data pipelines, design production services, and accelerate ML training through novel memory architectures. A committed mentor and organizer, she led developer training programs and K-12 outreach at ACM Teach LA, building curricula and shipping educational web apps used in classrooms. Regina blends research-driven problem solving with practical engineering chops across cloud, backend, and ML-adjacent systems. Based in Diamond Bar, CA, she brings cross-functional leadership and a track record of turning complex research or legacy systems into reliable, tested products.
8 years of coding experience
4 years of employment as a software developer
High School Diploma, High School Diploma at Troy High School
Platform for building access networks and modular network services
Role in this project:
Back-end Developer & Test Automation Engineer
Contributions:76 reviews, 19 commits, 32 PRs in 2 months
Contributions summary:Regina primarily refactored and updated test files related to wifi and lte services. They modified existing test code by altering file names, and changing declarations, and implemented tests related to the blobstore. The work involved changes to the way data is stored and loaded, and also involved refactoring existing tests. Overall, the user's contributions focused on improving the codebase's test coverage and ensuring the proper functioning of key modules.
Platform for building access networks and modular network services
Contributions:40 reviews, 28 PRs, 265 pushes in 2 months
lte5gnetworking4gjuniper
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