Ted Nyman
Computers at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolTed Nyman is a seasoned software engineer and founder with 16 years of experience building infrastructure and developer-facing systems, now at OpenAI in San Francisco. He co-founded and led Cased as CEO, applying AI to infrastructure problems after heading infrastructure at Loom and serving senior engineering roles at GitHub where he scaled critical systems. Hands-on across backend and systems work, Ted has contributed to notable open-source projects in the Ruby ecosystem—helping maintain pygments.rb, rugged bindings for libgit2, and improvements to GitHub Linguist’s language detection. He blends product leadership with low-level engineering, from IPC and error-handling tests to shipping platform-level features. Known for turning ambitious infrastructure ideas into reliable production services, he brings a pragmatic, security-aware approach to developer tooling. An engineer who still writes and tests core integrations, he quietly focuses on the plumbing that makes large-scale services dependable.
16 years of coding experience
9 years of employment as a software developer
Cornell University
Github Skills (26)
git10
programming-language10
libgit210
rspec10
git-repository10
rsp10
ruby10
libgit2sharp10
pygments10
error-handling10
github-repos10
syntax-highlighting10
ipc9
interprocess-communication9
logging8
Programming languages (21)
Github contributions (5)
github-linguist/linguist
Jul 2012 - Apr 2015
Language Savant. If your repository's language is being reported incorrectly, send us a pull request!
Role in this project:
Back-end Developer
Back-end DeveloperContributions:497 commits, 4 pushes, 2 comments in 2 years 9 months
Contributions summary:Ted contributed to the `github-linguist/linguist` repository, a project focused on language detection and syntax highlighting. Their commits primarily involved modifications to code related to language definitions, sample files, and heuristic approaches to language identification. These changes included updating samples, adding new language detections, and improving the overall accuracy of language classification within the project.
linguisticlanguage-grammarslanguage-statisticspull-requestrequest
pygments/pygments.rb
Sep 2012 - Jun 2014
💎 Ruby wrapper for Pygments syntax highlighter
Role in this project:Back-end Developer
Back-end DeveloperContributions:77 commits, 2 comments, 2 issues in 1 year 8 months
Contributions summary:Ted primarily contributed to the Ruby wrapper for the Pygments syntax highlighter. Their work involved implementing features using pipes for inter-process communication (IPC). They also focused on version updates and made enhancements to the logging. The user bumped the version number and incorporated the latest updates from the upstream Pygments library.
pygmentsruby-wrappersyntax-highlighterrubysyntax-highlighting
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