Chris Camuti
Senior Staff Engineer at Airbnb
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Camuti is a Senior Staff Engineer based in Seattle with 11 years of experience designing and building data-rich interfaces and visualizations, currently leading visualization engineering at Airbnb. Trained as a cell biology PhD who pivoted into computational genomics, he combines rigorous scientific analysis with pragmatic full-stack product engineering and user research to make complex data accessible. Chris has a strong open-source footprint—contributing front-end improvements and component refactors to widely used projects like Apache Superset and Airbnb’s visx—that emphasize maintainability and developer ergonomics. He’s adept at bridging product, design, and implementation, having shipped internal and customer-facing data products used by thousands. A less obvious strength is his habit of applying experimental rigor from lab work (e.g., classifier-driven artifact discovery) to improve reliability and test coverage in front-end systems.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Arts (BA), Chemistry, Bachelor of Arts (BA), Chemistry at Grinnell College(credit via UCSF-Stanford exchange program), Computer Science, (credit via UCSF-Stanford exchange program), Computer Science at Stanford University
Github Skills (20)
data-visualizations10
javascript10
component-design10
jes10
typescript10
data-visualisation10
user-interface10
webpack10
front-end-development10
jestjs10
webpacker10
typescript-types10
jtest10
data-visualization10
typescripts10
Programming languages (5)
Github contributions (5)
airbnb/visx
May 2017 - Jan 2023
🐯 visx | visualization components
Role in this project:
Front-end Developer
Front-end DeveloperContributions:14 releases, 432 reviews, 821 commits in 5 years 8 months
Contributions summary:Chris focused on developing and improving visualization components for the Airbnb Visx library. They primarily extracted and refactored code related to axis components, including extracting label transformation functions and streamlining axis rendering logic. These changes aimed to improve the maintainability and flexibility of the library's charting tools, demonstrating a focus on component design and usability. The user also implemented updates to the demo, showcasing these new functionalities.
reactchartsvgdata-visualizationvisx
apache/superset
Feb 2016 - Nov 2019
Apache Superset is a Data Visualization and Data Exploration Platform
Role in this project:Front-end Developer
Front-end DeveloperContributions:1 review, 156 commits, 217 PRs in 3 years 9 months
Contributions summary:Chris primarily focused on refactoring and improving the front-end of the Apache Superset platform. They added npm package.json files and set up Webpack to transpile ES6/JSX and compile JavaScript files, enabling a more modern front-end development workflow. The user also contributed to the UI by making various improvements, including adding a copy to clipboard feature and fixing styling and layout issues.
pythonapache-supersetflaskbusiness-analyticsbusiness-intelligence
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