Connor Martin is a Senior Software Engineer based in Seattle with seven years of experience building reliable cloud-native infrastructure and developer tooling. With an MS in Computer Science from Georgia Tech and deep hands-on work at GitHub and Anaconda, he focuses on Infrastructure as Code, Go, observability, and provisioning systems that improve uptime for critical services. At GitHub he helped codify model deployments for Copilot, ran A/B experiments to evaluate models, and tightened API performance and security—bringing ML deployment rigor into core infra. His open-source contributions to conda and Vagrant show a practical bent for build systems, package metadata, and robust validation automation. Known as a mentor who trains both senior and junior engineers, he blends operational reliability with a curiosity for data-driven decision making and dependency graph systems. An interesting through-line: he’s built both the datalake and graph DBs for package ecosystems, pairing infrastructure expertise with deep package-management insight.
7 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree Information Technology, Bachelor’s Degree Information Technology at Texas State University
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Georgia Institute of Technology
Contributions:2 releases, 8 reviews, 16 commits in 1 year 3 months
Contributions summary:Connor primarily contributed to improving the build process within the conda-build repository. Their work involved modifying the indexing mechanism, specifically by indexing files to improve efficiency. These changes included updating the index file handling and integrating it with the existing build processes. The user also addressed merge conflicts and test failures, indicating a focus on maintaining a stable and functional build environment. Furthermore, they introduced extra metadata functionality, showcasing a focus on improving package information and build customization.
A system-level, binary package and environment manager running on all major operating systems and platforms.
Role in this project:
Back-end Developer
Contributions:17 reviews, 37 commits, 25 PRs in 1 year 9 months
Contributions summary:Connor primarily focused on enhancing the conda environment manager. Their contributions included adding JSON support for environment exports, which involved modifying the core environment class, CLI, and test files to handle JSON serialization and deserialization. They also addressed code formatting issues and refactored code by utilizing existing methods. In addition, the user made improvements to Python package handling and channel configurations.
os-agnosticcondaagnosticpackage-managerlinux
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