Chris Bolin
Showrunner at Toner Industries
Colorado, United States
Summary
🤩
Rockstar🎓
Top SchoolChris Bolin is an engineering leader and data scientist with 11 years of experience who currently directs Data Science at DuckDuckGo, blending privacy-focused product work with hands-on ML and software development. He has held senior engineering leadership roles at Formidable (including VP and Director) and been a lead engineer and data scientist at earlier startups, demonstrating an ability to move between research, product, and developer-focused engineering. Chris contributes to open-source front-end libraries—improving React utilities and data visualization tooling—bringing practical improvements like offline detection, deep-equality tests, and React Native demos. His background includes quantitative research at MIT and building an offline-only digital magazine, reflecting a curiosity-driven approach that marries rigorous analysis with creative experimentation. Based in Colorado, he combines systems thinking with a designer’s sensibility to deliver robust, user-centered data products.
12 years of coding experience
17 years of employment as a software developer
SM, Computational Engineering, SM, Computational Engineering at Massachusetts Institute of TechnologyBS, Engineering, BS, Engineering at University of Nebraska-Lincoln
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (18)
data-visualizations10
javascript10
react-components10
react-native10
testing10
charts10
data-visualisation10
reactjs-components10
react-component10
front-end-development10
data-visualization10
react10
polling9
jsx9
d3js8
Programming languages (10)
Github contributions (5)
cwise89/react-detect-offline
Jul 2017 - Feb 2021
Offline and Online components for React
Role in this project:
Front-end Developer
Front-end DeveloperContributions:1 release, 91 commits, 25 PRs in 3 years 7 months
Contributions summary:Chris primarily focused on building and improving React components for detecting online/offline status. They added new components, like `Detector`, and integrated them into a demo application. The user also refactored the code, updated tests, and modified the build process. Further, they added the ability to use custom polling configurations to detect online and offline status more accurately.
react
FormidableLabs/react-fast-compare
Apr 2018 - Feb 2020
fastest deep equal comparison for React
Role in this project:Front-end Developer
Front-end DeveloperContributions:30 commits, 37 PRs, 57 pushes in 1 year 10 months
Contributions summary:Chris primarily contributed to enhancing the `react-fast-compare` library, which focuses on deep comparison for React applications. They implemented new tests, including React-specific tests to ensure the library's correct behavior with React elements. Additionally, the user addressed circular reference handling within the library and improved the codebase with DOM element comparison capabilities, further solidifying the library's usability in React and React Native applications.
react
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