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Lightweight Kubernetes

Home Page: https://k3s.io

License: Apache License 2.0

Shell 14.42% Ruby 0.23% Go 82.37% Makefile 0.08% HCL 2.75% Dockerfile 0.15%

k3s's Introduction

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๐Ÿ‘‹ Welcome! I'm Kyunghwan Kim.

  • Machine Learning Engineer and Software Developer
  • ๐Ÿ“ซ How to reach me [email protected]

๐Ÿ”ญ Iโ€™m currently working on

  • Smilegate (Oct 2023 ~ Present)
    • Working on AI API service using generative models.
  • Annotaion AI (Aug 2022 ~ Aug 2023)
    • Working on API service for image processing features based on deep learning models.
    • Implemented applications of state-of-the-art computer vision foundation models.
    • Served fast and scalable ML model w/ Triton.
    • Deployed ML inference service w/ Docker and Kubernetes.
  • Onepredict (Jun 2021 ~ Aug 2022)
    • Worked on defect or deterioration detection monitoring service based on signal data analysis(w/ ML) for motors of industrial equipment.
    • Implemented API server to provide diagnostic algorithms and ML model results in real-time.
    • Constructed and deployed the entire service using AWS ECS, EC2 LoadBalancer, Route53, and CloudFormation.
  • Medipixel (Jan 2019 ~ Jun 2021)
    • Worked on an automatic surgical manipulator project with Deep Reinforcement Learning methods.
    • Implemented core deep-RL algorithm to control the robot for moving guidewire.
    • Implemented system pipeline including a pre-processed image from X-ray video(CAG), neural network models for actions of the robot, and communication to control the robot.

๐ŸŒฑ Interests

  • Python, Golang
  • API service w/ Deep learning model.
  • ML/DL modeling: Computer Vision, Reinforcement Learning, NLP
  • Co-working with git
  • Soft-skils: Mentoring, Managing Team

ย MrSyee

k3s's People

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