Hyun Kang
Software Engineer at 스노우 SNOW Corporation
Seongnam-si, South Korea
Summary
👤
Senior🎓
Top SchoolHyun Kang is a seasoned software engineer with 10 years of experience building scalable backend systems, currently developing high-throughput generative AI gateways at SNOW Corporation. He specializes in Kotlin, Java, and Python, with deep expertise in reactive and coroutine-based architectures, microservices, and cloud-native infrastructure (Kubernetes, Terraform, Docker). A principal committer to line/kotlin-jdsl, he has added SQL hints, stream queries, and reactive features—work that improves JPA query ergonomics and performance in production systems. Hyun has a strong track record migrating monoliths to MSA, optimizing CI/CD for AI workloads, and implementing observability for million-request-per-day inference pipelines. He blends hands-on engineering with infrastructure automation and has practical experience connecting FastAPI Python middleware to GPU inference servers, reflecting an uncommon full-stack fluency across AI service stacks.
10 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.), Computer Engineering, Bachelor of Engineering (B.E.), Computer Engineering at Seokyeong UniversityMaster's degree, Software Engineering, Master's degree, Software Engineering at Korea University
English
Github Skills (7)
kotlin10
jpa10
jpql10
dsl10
testing9
hibernate9
sql8
Programming languages (4)
Github contributions (5)
line/kotlin-jdsl
Dec 2021 - Jan 2023
Kotlin library that makes it easy to build and execute queries without generated metamodel
Role in this project:
Backend Developer
Backend DeveloperContributions:12 releases, 308 reviews, 234 commits in 1 year
Contributions summary:Hyun primarily contributed to the `kotlin-jdsl` library, focusing on enhancements and additions to its query capabilities. Their work involved adding support for SQL hints, enabling query extraction functionality, and introducing stream query features, improving the library's flexibility and performance. The user also implemented unit tests for the new functionalities, ensuring code quality and reliability. Additionally, they integrated Eclipselink-specific features, such as hint support and relevant tests.
apiwithout-apikotlin-dslcriteria-apidsl
cj848/resilience4j
Apr 2019 - Feb 2022
Resilience4j is a fault tolerance library designed for Java8 and functional programming
Contributions:2 PRs, 4 pushes in 2 years 10 months
gleamuidfunctional-programmingtolerancefault
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