Hyunjoong Kim
Software Engineer at NAVER Corp
South Korea
Summary
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Rockstar🎓
Top SchoolHyunjoong Kim is a software engineer with 11 years of experience building backend and infrastructure systems, currently contributing to NAVER PAY after earlier server-side work at Samsung Electronics. He specializes in Korean NLP and data analysis, actively developing open-source tools like soynlp and contributing key improvements to the popular konlpy library, including Komoran integration and user dictionary support. Hyunjoong blends production-grade backend engineering with research-minded ML/NLP work, focusing on unsupervised methods such as word extraction and noun discovery for Korean text. Based in South Korea and trained in information systems, he communicates ideas through both code and writing, reflecting a long-term commitment to making Korean language processing more accessible and robust.
11 years of coding experience
5 years of employment as a software developer
정보시스템공학과, 정보시스템공학과 at 한성대학교
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (17)
algorithm10
algorithms10
python10
machine-learning10
nlpjs10
data-structure10
morphology10
natural-language-processing10
text-processing10
data-structures10
nlp10
java9
javas9
text-mining9
sql-server6
Programming languages (4)
Github contributions (5)
lovit/soynlp
May 2017 - Mar 2021
한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:1 release, 31 reviews, 1008 commits in 3 years 11 months
Contributions summary:Hyunjoong primarily contributed to the development of the soynlp Python library, focusing on unsupervised Korean natural language processing tasks. Their work included implementing and refining the core components, particularly the `WordExtractor`, which is used for word segmentation and extraction based on cohesion and branching entropy. The user also made significant contributions to the `LRNounExtractor_v2` class.
nlptransformer-architecturekorean-text-processingpythoncorpus
konlpy/konlpy
Jul 2018 - Aug 2018
Python package for Korean natural language processing.
Role in this project:Back-end Developer
Back-end DeveloperContributions:13 commits, 3 PRs, 4 pushes in 22 days
Contributions summary:Hyunjoong primarily contributed to the Komoran Korean morphological analyzer within the konlpy library, which is a Python package for Korean natural language processing. Their work involved updating and integrating Komoran versions, including changes to dependencies and initialization processes. Key contributions include implementing user dictionary functionalities, fixing bugs, and refactoring the code, indicating involvement in the core NLP functionalities of the library.
nlppythonmorphologylanguage-processingnatural-language
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