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About me

☁️ Solutions Architect from Korea ☁️

- GPA : 4.24/4.5 (4.05/4.3)
- Department of Marine Computer Engineering, Mokpo National Maritime University (2016. 03. ~ 2021. 03.)
- Department of Computer Engineering, Hanbat National University (2021. 03. ~ 2023. 03.)
- Hanbat National University DfX (Design-for-X) Laboratory undergraduate research student (2021. 12. ~ 2022. 12.)
- AWS E2W Skills up program: Cloud Bootcamp (2023. 01 ~ 2023. 03)
- Working as a Solutions Architect at SmileShark Co.,Ltd. (2023. 04 ~ Now)

       

GitHub stats

🌟 I'm interested in everything that helps build a cloud development environment.

  • likes CI/CD, IaC and Container Orchestration (Docker, k8s, etc)

Docker

  • Create DockerFile, Create Docker Image, Push and Pull Docker Image
  • Have experience using Docker hub, Github Container Registry, AWS Elastic Container Registry
  • Experience building cloud native container orchestration using AWS ECS and AWS ECR

CI/CD

  • I can construct a fully automated pipeline using AWS Code series, Github, and AWS CodeCommit as sources.
  • I can configure a fully automated container orchestration environment using the AWS Code series and AWS ECS.
  • Now, I am studying the composition of a fully automated k8s orchestration environment using AWS EKS.

K8s

  • I can build a local Kubernetes environment.
  • I can configure a cloud native Kubernetes orchestration environment using AWS EKS.

IaC

  • I can use CloudFormation to create most Amazon resources and configure my infrastructure.
  • I can configure most AWS cloud infrastructure using Hashicorp's Terraform.
  • I can use the AWS CLI to create shell scripts and create simple AWS resources.

🛠️ Language and Tools

OS
AmazonLinux
Programming Language

IaC
Terraform CloudFormation
CI/CD Tools
Github Actions, AWS Code Series(Pipeline, Build, Deploy), Jenkins Database
AWS DocumentDB, AWS Aurora

Framework

Tools

Etc

Contacts

✉️ Email [email protected] or [email protected]

Hyeonmin Kim's Projects

c icon c

C programming

genai-ko-llm icon genai-ko-llm

This hands-on lab walks you through a step-by-step approach to efficiently serving and fine-tuning large-scale Korean models on AWS infrastructure.

imagedream icon imagedream

The code releasing for https://image-dream.github.io/

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