Cody Gibb
San Francisco, California, United States
Summary
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RockstarCody Cook is an assistant professor in Yale’s Department of Economics who studies affordable housing, congestion pricing, and urban inequality, translating policy questions into rigorous empirical work. A Stanford Ph.D. in Economics with earlier training at the University of Chicago, he brings 11 years of experience combining academic research and industry data science. He spent several years on Uber’s research team (Ubernomics) and at TGG, turning economic insights into large-scale analyses and policy-relevant experiments. Cody is also an active open-source contributor — his backend work on projects like uber/kraken and pantsbuild/pants improved TB-scale data distribution and build caching — a technical depth he leverages to run production-grade empirical work. Based in San Francisco, he blends production engineering skills with economic theory to make urban policy research operational at scale.
11 years of coding experience
Github Skills (29)
caching10
python10
net10
hdfs10
build-system10
go10
build-automation10
network10
build-tools10
p2p10
networking9
java9
file-io9
javas9
concurrency9
Programming languages (6)
Github contributions (5)
uber/kraken
May 2017 - Jan 2022
P2P Docker registry capable of distributing TBs of data in seconds
Role in this project:
Back-end Developer
Back-end DeveloperContributions:8 reviews, 476 commits, 75 PRs in 4 years 8 months
Contributions summary:Cody's commits primarily focused on enhancing the performance and stability of the Kraken P2P Docker registry. Their contributions included optimizing the handling of file descriptors, enhancing the scheduler configuration, improving the logic for handling piece requests, and refactoring code for better maintainability. They also worked on introducing and integrating file-based logging for network events, while also addressing and fixing multiple bugs in existing components and the HDFS storage backend.
docker-imagep2pbittorrentdockertbs
pantsbuild/pants
Jun 2015 - Sep 2015
The Pants Build System
Role in this project:Back-end Developer & Automation Engineer
Back-end Developer & Automation EngineerContributions:17 commits, 22 PRs, 1 comment in 2 months
Contributions summary:Cody primarily contributed to improving the Pants build system, focusing on caching mechanisms for various code analysis tools like Checkstyle and Scalastyle. They implemented caching features to optimize build times by enabling artifact caching for static analysis tasks. Furthermore, the user refactored the JvmDependencyAnalyzer into a dedicated task and also added support for building and testing Go code.
pythonprotobufaws-lambdapantsshell
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