GeunCheol Yeom(GeunSam2)

👋 TL;DR

I'm SRE Engineer. I love to learn new things and challenge myself.

I'm interested in Cloud Native, DevOps, and OpenSource.

📫 Contact

• GitHub: @GeunSam2 (opens in a new tab)
• LinkedIn: https://www.linkedin.com/in/geunsam2 (opens in a new tab)
• Blog: https://ykarma1996.tistory.com/ (opens in a new tab)
• E-mail: rootiron96@gmail.com
• Phone: +82) 010-7537-2437

🏢 Employment

Daangn (opens in a new tab) (2 Years)

SRE Engineer

• 2022.01. ~ Now

KBSYS (opens in a new tab) (2 Years 5 Months)

DevOps Engineer(Senior)

• 2020.12. ~ 2022.01.

DevOps Engineer(Junior)

• 2019.07. ~ 2020.12.

CultureMakers (opens in a new tab) (1 Years 1 Months)

Server Security Engineer(Senior)

• 2018.07. ~ 2019.07.

📚 Education

• Korean Academic Credit Bank System(학점은행제) (opens in a new tab) System Security / Bachelor 2018.02.

📝 Certificates

🏆 Awards

📖 Projects

• Developed and operated Danngn's in-house develop platform Kontrol
  • Developed ArgoCD -> Kontrol migration helper feature
  • Developed Kontrol project deletion feature
  • Promoted Kontrol internally by organizing and conducting Kontrol hands-on + created hands-on monitoring page
  • Paved the way for global deployment by transitioning Kontrol's deployment pipeline management tool from GoCD to Argo Workflows.
  • Enabled global deployment(kr, uk, jp, ca) in Kontrol
  • Directly contributed to fixing bugs with LifeCycleHooks and prometheus custom metrics in the argo-workflows open source.
  • POC on GitHub Actions Runner Controller (ARC) to determine solutions to improve unstable GitHub Actions.
  • Optimized container image builds using remote cache
  • Developed build and deployment statistics page

• SK hynix internal machine learning competition platform building project(2021.02. ~ 2022.01.)

  • Complete design and development of an in-house machine learning competition platform (If-Kaggle).
    • Architect Kubernetes-based process for machine learning competition creation, entry, and submission logic
    • Architect and develop of automation utilizing Kubernetes Job for machine learning algorithm performance evaluation
    • Architect and develop the internal architecture of the contestant IDE (JupyterLab) container

• Woori Bank Cloud Portal, AI Service Hub Building Project(2020.05. ~ 2021.02.)

  • Participated in the design and development of a kubernetes-based development environment deployment automation service (cloud portal).
    • Install Kubernetes on bare metal (without internet connection)
    • Build Kubernetes backup solution (Velero + minio)
    • Build resource usage monitoring system (exporter + prometheus + grafana)
    • Build log monitoring system (metricbeat, elasticsearch, kibana)
    • Participated in the development of Kubernetes-based development environment deployment automation service
  • Lead the overall design and development of AI model development and deployment automation environment (AI platform)
    • Architect and develop a modular and assembled execution engine for purpose-specific machine learning workflows (business/deployment/learning/re-learning/evaluation)
    • Architect container architecture and API development for AI model development environment (IDE)
    • Workflow code geometry management (GIT) abstraction + payment/authorization system linkage logic design and development
    • Architect and development of batch-type (daily/monthly) service deployment and task management system (Control-M) linkage logic

• CJ Logistics Human Resources Management System MSA Project(2019.10. ~ 2020.03.)

  • Build DC/OS (Container Management Platform)
  • Build resource usage monitoring system
  • Architect and build a service-wide log collection, refinement, and monitoring system
  • Architect and build deployment automation (CI-CD) service
  • Architect and develop of database (mysql) failover containerized fully automated solution

🤝 Contribution

• ArgoWorkflows (opens in a new tab)
• marathon-autoscaler (opens in a new tab)
• nexclipper (opens in a new tab)