Kono Kim is a founder and NLP-focused engineer with 12 years of experience building text analysis products and a SaaS keyword tool through Twinword. Combining formal training in computer science and language (MS in CS, BA in Language & Literature, PhD candidate in NLP), he bridges linguistic insight with practical engineering to deliver developer-facing APIs. He has hands-on experience across front-end and back-end work, including notable open-source contributions to DuckDuckGo Instant Answers where he implemented a “Word Map” feature integrating Twinword’s API. Based in South Korea, he pairs long-term product stewardship with deep technical involvement, turning research-driven ideas into usable language tools. An early career stint as a project manager at Samsung SDS informs his operational approach to scaling products and teams.
12 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD) Candidate Natural Language Processing, Doctor of Philosophy (PhD) Candidate Natural Language Processing at Sogang University
Bachelor of Arts (B.A.) Language and Literature, Bachelor of Arts (B.A.) Language and Literature at Sungkyunkwan University
DuckDuckGo Instant Answers based on JavaScript (JSON) APIs
Role in this project:
Back-end Developer & UI Designer
Contributions:16 commits, 4 PRs, 4 comments in 1 year 4 months
Contributions summary:Kono primarily worked on implementing and refining the "Word Map" feature within the DuckDuckGo Instant Answers system. Their contributions involved integrating with the Twinword API, modifying JavaScript and Handlebars templates to display the related words, and adjusting the user interface for a better user experience. They also updated source and contact information. This included significant changes to the back-end Perl code (`.pm` files), front-end JavaScript and Handlebars files, and trigger definitions.
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