Carter Mcclellan is an Applied AI engineer with nine years of experience building production ML and back-end systems from startups to cutting-edge AI research at OpenAI. He co-founded and led supercontrast through YC Fall 2024, blending product instincts with hands-on engineering and a focus on deployable AI. Prior roles at Hive and FINESSE honed his expertise in machine learning engineering and operationalizing models in real-world environments. An active open-source contributor, he has made substantive back-end and DevOps contributions to the widely used minio/mc project—adding commands, improving admin tooling, and hardening S3 compatibility. Based in the San Francisco Bay Area and dual-trained in computer science and mathematics at UW–Madison, he brings both theoretical rigor and pragmatic systems experience. He also has an eye for craft: his Github bio’s “svgs are cool” hints at a detail-oriented developer who enjoys elegant tooling and developer UX.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Wisconsin-Madison
Contributions:7 commits, 11 PRs, 1 push in 3 months
Contributions summary:Carter contributed to the `mc` utility by implementing features and fixing bugs. Their work includes configuring default S3v2 for Google endpoints, improving experimental logging for the `mc admin heal` command, and implementing the `mc find` command. They also made changes related to the `mc admin` commands, suggesting involvement in managing and extending the tool's administrative capabilities.
Contributions:13 commits, 10 pushes, 1 branch in 2 years 3 months
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