Rai Pokorny
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolRai Pokorny is a Member of Technical Staff at OpenAI with 14 years of software engineering experience spanning systems, web, and desktop applications. He combines deep low-level C/C++ expertise with full‑stack fluency in languages like Ruby, C#, and PHP, and a strong interest in functional programming and electronics. At Google he worked on Knowledge Graph ingestion and on-device NLU for Pixel Assistant, and at OpenAI he contributes to scalable oversight and reinforcement learning research engineering. Rai is an active open-source contributor to notable projects such as Athens, Trilium and Anki, where he has improved parsers, backend tooling, testing, and modernized codebases. A committed effective altruist and AI safety advocate, he balances research-focused work with pragmatic engineering, and is quietly moving his public projects to a new GitLab handle. Based in San Francisco, he’s as comfortable optimizing low-level performance as he is shaping prototype ML oversight systems.
14 years of coding experience
10 years of employment as a software developer
Programování, Programování at Střední škola aplikované kybernetiky s.r.o.Master's degree Artificial intelligence, Master's degree Artificial intelligence at Charles University
English, Czech, German
Github Skills (28)
javascript10
docker10
parser10
clojure-cli10
typescript10
dockers10
anki10
refactor10
clojure10
regular-expression10
typescript-types10
typescripts10
refactoring10
notepad10
documentation10
Programming languages (23)
Github contributions (5)
athensresearch/athens
Mar 2021 - Jun 2021
ATHENS IS NO LONGER BEING ACTIVELY MAINTAINED. Athens is an open-source, collaborative knowledge graph.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:44 reviews, 6 commits, 13 PRs in 2 months
Contributions summary:Rai contributed to the Athens knowledge graph project by primarily focusing on the front-end and parser components. Their work included fixing bugs related to URL parsing, enhancing the parser's ability to handle edge cases, and adding regression tests. Additionally, the user implemented changes to the daily notes feature, shortening the debounce time for loading pages, and improved the Athena search functionality, specifically adding a test and refining its fuzzy matching.
actively-maintainedknowledgeknowledge-baseathensknowledge-graph
ankitects/anki
Dec 2019 - Apr 2020
Anki's shared backend and web components, and the Qt frontend
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:37 commits, 40 PRs, 42 comments in 3 months
Contributions summary:Rai made several code improvements focused on modernizing and improving code quality. They refactored code by replacing 'var' with 'let' or 'const' and replaced loops using for..of. The user also added type annotations to several parts of the codebase, and fixed a bug in the template code by correcting the logic of `_removeFormattingFromMathjax`. They also implemented the addition of named groups in regular expressions for improved readability.
desktopankicomputers
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