Christine Chambers
Principal Engineer at NVIDIA
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChristine Chambers is a Principal Engineer based in Seattle with 11 years of experience building and scaling production systems across AI infrastructure, computer vision, and large consumer platforms. She has led engineering organizations of 40+ engineers at Lyft, managed cross-site teams, and now drives AI infra at NVIDIA, blending hands-on architecture with people and roadmap leadership. Her background spans full-stack development, front-end architecture (React/Redux), and platform-level improvements, with notable work modernizing web apps and migrating test frameworks. An active open-source contributor, she has improved Apache Superset’s UI and core platform, addressing tricky tooltip, mapbox, and SQL editor issues and bringing TypeScript and Jest hygiene to the codebase. She pairs a pragmatic, data-driven approach with experience integrating services into manufacturing and infra ecosystems, a less-obvious strength rooted in her Glowforge and factory integration work. With an M.S. in Computer Science and a track record of shipping across startups and large enterprises, she excels at turning complex requirements into maintainable, high-impact systems.
11 years of coding experience
16 years of employment as a software developer
M.S. Computer Science, M.S. Computer Science at Northeastern UniversityB.E. Computer Science and Engineering, B.E. Computer Science and Engineering at Beijing University of Technology
English, Chinese
Github Skills (20)
data-visualizations10
javascript10
python10
typescript10
data-visualisation10
apache-superset10
front-end-development10
typescript-types10
data-visualization10
typescripts10
react10
back-end-development9
sql9
backend9
flask8
Programming languages (3)
Github contributions (5)
apache/superset
Aug 2018 - Aug 2019
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:77 commits, 93 PRs, 117 pushes in 1 year
Contributions summary:Christine primarily contributed to fixing bugs and enhancing the user interface of the Apache Superset data visualization platform. Their work involved addressing issues related to asynchronous syntax, mapbox map interactions, and SQL editor functionality. They also refactored code, improved the feature flag system, and migrated from Mocha+Chai to Jest for testing. The changes demonstrate a focus on both frontend and backend improvements to the platform.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
apache-superset/superset-ui
Dec 2018 - May 2019
Apache Superset UI packages
Role in this project:Front-end Developer
Front-end DeveloperContributions:27 commits, 14 PRs, 52 pushes in 5 months
Contributions summary:Christine primarily focused on enhancing the user interface and improving the functionality of the Superset UI. They addressed tooltip-related issues in the legacy NVD3 charts, resolving problems with disappearance and stickiness. Furthermore, the user implemented a feature to handle metrics arrays in form data, enhancing data presentation flexibility. The commits also involved code refactoring, TypeScript improvements, and adding callback hooks for Reactified components.
monorepoapache-supersetapachedata-visualizationsuperset
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