Hun Kim is a software engineer with five years of experience building production data systems, real-time collaboration tools, and AI-driven search and tooling. With a dual background in computer science and visual communication design and a Master’s in Design Engineering from Harvard, he bridges UX-aware product design and backend engineering. He has shipped features at scale—from performance monitoring contributions to the open-source Pinpoint APM project to a multiplayer whiteboard on NAVER using Yorkie—and led system design for API monitoring and hybrid semantic search at DALPHA. His work often sits at the intersection of data, visualization, and human-centered AI, including prototyping LLM-powered knowledge systems and automating GIS workflows for urban research. Colleagues would note his knack for turning research insights into production-ready dashboards and internal tools that accelerate product iteration.
5 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, 4, Bachelor's degree, Computer Science, 4 at Seoul National University
Master's degree, Design Engineering, Master's degree, Design Engineering at Harvard University
APM, (Application Performance Management) tool for large-scale distributed systems.
Role in this project:
Back-end Developer
Contributions:5 reviews, 17 commits, 166 PRs in 9 months
Contributions summary:Hun's contributions primarily focused on enhancing the Pinpoint APM project, with changes related to logging, configuration, and the implementation of a throttled logger. The commits involve modifications to the GrpcStreamConfiguration and related classes, along with test implementations. The user also added features related to monitoring the performance of applications, by introducing the Apdex score chart to visualize application and agent performance.
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