Youngkun Min
AI Engineer at KT
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolYoungkun Min is an AI Engineer and Ph.D.-trained computer scientist based in Seoul with 11 years building scalable data platforms and containerized infrastructure. He has deep hands-on experience across big data ecosystems (Hadoop, Spark, Kafka, Phoenix, Druid) and modern orchestration technologies, having led integration and operational projects for telco-grade analytics and private cloud deployments. At KT NexR and prior roles he contributed to flagship open-source projects such as Apache Kyuubi—implementing backend features to redact secrets and harden operation logging—and worked on container orchestration and scheduler tooling. Now transitioning into applied AI at KT, he combines research rigor with production pragmatism: shipping secure, robust back-end systems that handle sensitive data at scale. Colleagues rely on him for solving tricky integration edge cases and improving observability in distributed systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Dankook University
English, Japanese
Github Skills (12)
javas10
logging10
data-security10
spark10
backend10
back-end-development10
java10
sql9
thrift8
jdbc6
kubernetes-pods5
kubernetes5
Programming languages (12)
Github contributions (5)
apache/kyuubi
Dec 2021 - Jan 2022
Apache Kyuubi is a distributed and multi-tenant gateway to provide serverless SQL on data warehouses and lakehouses.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:10 reviews, 2 commits, 8 PRs in 6 days
Contributions summary:Youngkun primarily contributed to enhancing the Kyuubi project's backend functionalities by implementing features to redact sensitive information from logs and the SparkSQLEngine UI. They addressed security concerns by preventing the exposure of secret information like S3 keys. Additionally, the user fixed a bug in the batch submission process and improved the robustness of the operation logging system. The user also added configuration options for the Engine UI Proxy Servlet.
tenantserverlessdata-lakejdbcspark-sql
nexr/dolphinscheduler
Nov 2022 - Jan 2024
Apache DolphinScheduler is the modern data workflow orchestration platform with powerful user interface, dedicated to solving complex task dependencies in the data pipeline and providing various types of jobs available `out of the box`
Contributions:5 reviews, 4 PRs, 17 pushes in 1 year 2 months
dependenciesuser-interfacepipelineorchestrationdata-workflow
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