Sangyeon Kim
Software Developer at Medistream
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolSangyeon Kim is a software developer based in Seoul with nine years of experience building production systems across e-commerce and healthcare domains. He holds a Master's in Software Engineering from Soongsil University and has progressed from developer roles to managerial responsibilities, blending hands-on coding with team leadership. At Medistream he continues to deliver practical software solutions, drawing on prior experience at GS SHOP and TRAMS. An active open-source contributor, Sangyeon implemented and integrated a DBSCAN clustering module into the notable mlpack C++ machine learning library, demonstrating both algorithmic understanding and C++ systems skills. He is comfortable bridging research-grade ML techniques and production engineering, and often focuses on reliability and testable integrations. Colleagues describe him as a pragmatic engineer who prefers well-tested, maintainable implementations over clever but brittle shortcuts.
9 years of coding experience
6 years of employment as a software developer
석사, 소프트웨어 공학, 석사, 소프트웨어 공학 at 숭실대학교
Github Skills (6)
machine-learning10
c-language10
cprogramming-language10
dbscan10
deep-learning8
regression7
Programming languages (7)
Github contributions (5)
mlpack/mlpack
Jan 2019 - Jun 2020
mlpack: a fast, header-only C++ machine learning library
Role in this project:
ML Engineer
ML EngineerContributions:136 commits, 36 PRs, 9 pushes in 1 year 5 months
Contributions summary:Sangyeon's commits primarily revolve around implementing and integrating a new DBSCAN clustering module within the mlpack library. This involved creating the `OrderedPointSelection` and `RandomPointSelection` modules for point selection, which are crucial components for DBSCAN's operation. Furthermore, the user integrated the new module and added test modules to ensure functionality, demonstrating a focus on expanding machine learning capabilities within the project. These commits demonstrate an understanding of the DBSCAN algorithm and its integration within the mlpack library.
regressionheaderdeep-learningscientific-computingc-plus-plus
KimSangYeon-DGU/Self_taught_algorithm_study
Jul 2018 - Aug 2018
Contributions:156 commits, 131 pushes, 1 branch in 1 month
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.