Jihoon Kim
MLE at LBOX(엘박스)
Seoul, South Korea
Summary
🤩
Rockstar🎓
Top SchoolJihoon Kim is a machine learning engineer and backend-focused software leader with 4 years of professional experience building microservices and event-driven systems in Seoul. He has driven architecture and delivery across fintech and healthcare domains, leading migrations (ECS→EKS, Spring Boot 2→3 and JDK 11→17) and converting Jenkins pipelines to Airflow to improve reliability and observability. Comfortable from system design to hands-on coding, he rebuilt legacy MSA into robust core systems, introduced tooling for on-call and load testing, and led cross-functional teams delivering mobile and backend products. An active open-source contributor to the Spring AI project, he focuses on internal correctness and integration (e.g., Neo4jVectorStore and HuggingFace chat models), reflecting a pragmatic attention to maintainability in AI frameworks. Jihoon blends strong Kotlin/Spring backend expertise with practical applied-AI interests, often surfacing small but critical fixes that prevent cascading runtime issues. Colleagues rely on him for thoughtful roadmaps, code reviews, and mentoring that raise engineering standards across teams.
4 years of coding experience
10 years of employment as a software developer
학사 컴퓨터 과학, 학사 컴퓨터 과학 at 상명대학교
Stackoverflow
1,280reputation
79kreached
31answers
6questions
android-recyclerview
top-5%
listview
top-5%
Github Skills (15)
javas10
debug10
artificial-intelligence10
java10
spring-boot10
android-recyclerview9
refactoring9
huggingface9
listview9
neo4j8
android-intent6
android-animation6
image-loader6
xamarin6
android6
Programming languages (2)
Github contributions (5)
spring-projects/spring-ai
Oct 2024 - Feb 2025
An Application Framework for AI Engineering
Role in this project:
Back-end Developer
Back-end DeveloperContributions:7 reviews, 24 PRs, 26 comments in 3 months
Contributions summary:Jihoon primarily contributed to the Spring AI project by addressing bugs, fixing typos, and improving code quality. Their work includes fixing incorrect logger initialization and fixing typos within the embedding package, and general improvements of existing code. They also made enhancements to several components, including the Neo4jVectorStore and Huggingface Chat Model. These contributions demonstrate a focus on the internal workings and maintenance of the AI framework.
artificial-intelligencejava
jitokim/spring-ai
Oct 2024 - Jan 2025
An Application Framework for AI Engineering
Contributions:21 pushes, 23 branches in 2 months
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