Profile

• ✨ Introduction
• 🧑🏼‍💻 Current Position
• 💼 Career Details
  • 1. Timeline
  • 2. Documents
  • 3. Works
  • 4. Certifications
• 📜 External Links

✨ Introduction

My name is Jeayoung Jeon, and I’m a software engineer living in South Korea.

• I work at MAXST as an MLOps/DevOps Engineer and Cloud-Native Software Developer.
• I always study and work hard to solve big problems in my field.
  • Run endurable and scalable applications in cloud-native environments.
  • Create pipelines for computer vision problems in minimal cost.
• In my spare time, I enjoy walking my dog and diving into the world of the Kubernetes Community.

To know more about me, check out my documents below:

💼 Résumé

🇬🇧 EN

🇰🇷 KO

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Demo Blog (Korean)

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🧑🏼‍💻 Current Position

Currently, I work at MAXST in South Korea as a software engineer with two roles: MLOps/DevOps Engineer and Cloud-Native Software Developer. My major responsibilities and roles in the company include:

• as an MLOps Engineer 👨🏼‍🔬
  • ML Pipelines : Creating ML pipelines¹ for computer vision problems
  • AutoML : Deploying Katib AutoML^1,2 for hyperparameter tuning
  • Notebooks : Providing remote Python notebook kernels using JupyterHub
• as a DevOps Engineer 🧑🏼‍🔧
  • CI/CD Pipelines : Deploying applications using private¹ and public³ CI/CD pipelines
  • IaC : Managing public and on-premise clusters using IaC methodology^1,4
  • Monitoring : Monitoring applications using PLG stacks
• as a Cloud-Native Software Developer 🧑🏼‍💻
  • MSA
    • Developing APIs⁵ for life-cycle management of ML pipelines¹
    • Developing applications ensuring high availability and scalability
    • Adapting applications to cloud-native environments
• Challenges 🧐
  • MLOps : Distributed training of ML models using Kubernetes^1,2
  • DevOps : Optimizing power/cost of public⁶ clusters using hybrid ^{public+onprem} clusters
  • ChatOps : Upgrade chatbots with open-source LLMs⁷ to automate boring and danger routines

¹: Argo Workflows, ²: Kubeflow, ³: Bitbucket Pipeline and GitHub Actions, ⁴: Ansible and Terraform, ⁵: FastAPI, ⁶: AWS EKS, ⁷: Llama 3 with Ollama

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💼 Career Details

1. Timeline

Following is a brief summary of my career:

• 2024 - Present : Cloud-Native Software Development (BE, Infra)
• 2023 - Present : MLOps, DevOps using Kubernetes Clusters
• 2018 - 2023 : Research in Visual-SLAM and Digital Twins
• 2012 - 2020 : Research in Automotive Computer Vision
• 2012 - 2018 : Research in FPGA for Advanced Driver’s Assistance Systems
• 2008 - 2018 : Research in Digital Signal Processing and Machine Learning
• 2008 - 2012 : Study in Analog and Digital Communications

The annual interval stands for the focused duration of my full efforts

2. Documents

You can find more details about my career in the following documents:

• Résumé: Recent highlighted career
  • Résumé (in Korean 🇰🇷): 경력기술서를 포함한 최근 이력

3. Works

I have worked on various projects related to DevOps, MLOps, and Cloud-Native Software Development.

See my Works for more details about my projects and achievements.

4. Certifications

I have earned the following certifications related CNCF: CKA / CKAD.

See my Certifications for more details.

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📜 External Links

• Blog: My blog posts written in Korean
• Demo: Live demo powered by Raspberry Pi cluster (Can be down sometimes)