Changok Kim - Software Engineer at Meta

Changok Kim

Software Engineer at Meta

San Francisco, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Changok Kim is a seasoned software engineer with 14 years of experience building large-scale language and infrastructure systems, currently at Meta after a 12-year tenure leading Twitter’s Language Infrastructure team. He has deep expertise in internationalization, machine translation, and user language data pipelines, and has driven critical cross-company emergency projects such as abuse triage, bulk media and spam processing, and privacy data platforms. As a former co-founder and CTO, he blends product-minded engineering with hands-on backend work across Rails, Java, PostgreSQL, and cloud services. His open-source contributions include quality and documentation improvements to Twitter’s widely used twitter-text libraries, sharpening URL and domain parsing accuracy. Based in San Francisco, he pairs leadership at scale with practical implementation skills and a background in computer science from NYU. Colleagues count on him for pragmatic solutions in high-stakes, real-time data environments.

14 years of coding experience

12 years of employment as a software developer

Master of Science (M.S.) Computer Science, Master of Science (M.S.) Computer Science at New York University

Bachelor Software Development, Bachelor Software Development at Institute of Technology, Carlow

Bachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at Dong-A University

English, Korean

Github Skills (5)

javas10

java10

documentation10

unicode10

regular-expression9

Programming languages (2)

HTMLRuby

Github contributions (5)

twitter/twitter-text

Jan 2016 - Jun 2017

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.

Role in this project:

Back-end Developer

Contributions:1 release, 37 commits, 26 PRs in 1 year 5 months

Contributions summary:Changok primarily focused on improving the codebase's quality and maintainability through Javadoc enhancements. They corrected specifications and added semicolons to Javadoc, suggesting a focus on code documentation and readability. Furthermore, the user updated the TLD lists, indicating contributions to the project's ability to parse and process text data related to domain names and URLs. This work improved the accuracy of the text processing functionalities.

emojiobjective-ctokenizeexpectationsruby

changok/BlackScholesCUDA

Apr 2012 - Apr 2012

Contributions:7 commits in 27 days

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