Chris Kelly is a Senior Software Engineer based in Cambridge, MA with 13 years of experience building data-driven systems for marketing, advertising, and payments. He combines strong Python and AWS skills with production experience in Kafka-backed data pipelines and ML model tooling—having contributed bug fixes and optimizations to the widely used coremltools project. At Stripe he focuses on scalable, reliable services, and his prior roles include shipping mobile ML infrastructure at Fritz and leading data insights and campaign systems at Jana. Chris brings an academic foundation from Princeton in computer science and early research experience analyzing fMRI data, which informs his analytical approach to engineering problems. Colleagues rely on him to bridge data, ML, and backend concerns while improving conversion and deployment pipelines.
13 years of coding experience
9 years of employment as a software developer
B.S.E. Computer Science, B.S.E. Computer Science at Princeton University
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Role in this project:
ML Engineer
Contributions:7 commits, 6 PRs, 10 comments in 16 days
Contributions summary:Chris primarily contributed to the `coremltools` repository by modifying and improving the model conversion and optimization process. They focused on fixing bugs in the conversion pipeline, specifically addressing issues with identity node removal and batch norm control outputs. Additionally, the user made changes to fuse bias addition, integrate depthwise convolutions and incorporate unit tests to improve code quality.
A collection of mobile application demos build using Fritz.
Contributions:1 release, 13 PRs, 11 pushes in 11 months
mobile-applicationreact-nativedartfritzios
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