Résumé: Jeayoung Jeon

MLOps/DevOps and AI Engineer

My name is Jeayoung Jeon [전제영], and I’m an MLOps engineer in Seoul, South Korea. I also specialize in:

  • 🐳 Developing MLOps (APIs, Pipelines) and AI/LLM Platforms in cloud-native environments.
  • 🧑‍🔧 Building Hybrid Kubernetes Clusters for High Availability and GPU Cost Reduction.
  • 🧑‍🎓 Contributing decisions for MLOps/DevOps using backgrounds in ML, Computer Vision, Automotive.
I’m always open to new challenges and opportunities for various fields including ICT, AI, and Automotives. Please feel free to contact me. If you’re looking for my professional experience and details, please see my projects and portfolio.
PDF
Email
Website
https://jyje.live
LinkedIn
LinkedIn: jyje
GitHub
Github
StackShare
StackShare

Work

– (9 Months)

🧑‍🔬 Intermediate Software Engineer [책임연구원] at MAXST

Roles: Lead MLOps/DevOps Engineer at Technology Division, MAXST
  • MLOps Developing ML APIs, data pipelines, and AI Platforms using open sources.
  • LLMOps Building chatbots using self-hosted RAG+LLM systems for internal documents.
  • SRE Site reliability engineering for web services. Service reliability engineering for ML workloads.

– (3 Years and 2 Months)

🧑‍💻 Software Engineer [선임연구원] at MAXST

Roles: Associate Researcher and DevOps Engineer at Technology Division, MAXST
  • Algorithm Research Reviewing computer vision algorithms in state-of-art papers and implementing prototypes
  • Hybrid Clusters Building hybrid clusters with AWS EKS and on-premise Kubernetes for digital twin project
  • DevOps Building on-premise clusters and data pipelines for company's inbound/outbound projects

– (8 Years and 6 Months)

🧑‍🎓 Graduate Student Researcher in Computer Vision at POSTECH

Roles: Ph.D Integrated Student at Department of Electrical Engineering, POSTECH
  • Computer Vision Research on hyperparameters for accurate and efficient computer vision algorithms
  • Automotives Principal computer vision technologies for autonomous driving including ADAS and SLAM; Participated in the development of the Korean government's incubation projects with various ADAS researches
  • FPGA Efficiently implemented computer vision and machine learning algorithms with real-time parallel matrix processing; SoC-type GPU/NPU accelerator

Education

–

🎓 Master's Degree (Integrated Program) in Department of Electrical Engineering, Signal Processing & Computer Vision from Pohang University of Science and Technology (POSTECH) with GPA of 3.2/4.3

Thesis

- Thesis: Virtual Visual-SLAM for Real-World Environments, 2020

–

🎓 Bachelor's Degree in School of Electronic Engineering, Electronic Communication from Kumoh National Institute of Technology (kit) with GPA of 4.3/4.5

Thesis

- Thesis: A Study on a Visible Light Communication using LED in Under-water Environment, 2011

Awards

🏅 Altera Design Contest 2014, Excellence Prize from Intel-Altera Korea

[System] FPGA, Vision-Based Driver Support Navigation System

🏅 Best Poster Session in Workshop from KYUTECH-POSTECH Joint Workshop

[Poster] Iterative Polygon Detection using Harris Corner Space Method for Finding Traffic Signs

🥈 Altera Design Contest 2013, 2nd Prize from Intel-Altera Korea

[System] FPGA, Vision-Based Traffic Sign Recognition System

🏅 Highest Honors in Undergraduate School from Kumoh National Institute of Technology

[Summa Cum Laude] Highest Honors in Undergraduate Electronic Engineering School

🏅 NAVER Power KiN 2011 from NAVER

[Activity] Knowledge Export in `Electronics Engineering, Mathematics and Programming fields`. Active 2009-2011, Selected as a MVP in 2012 / Total number of answers 723, Selection ratio 98.1%

Publications

The full list of my publications are available on Google Scholar.

, POSTECH, Thesis (1st)

🎓 Virtual Visual-SLAM for Real-World Environments by Jeayoung Jeon

, ISVC, Advances in Visual Computing, 10th International Symposium (2nd)

📄 Cost Aggregation Table: Cost Aggregation Method Using Summed Area Table Scheme for Dense Stereo Correspondence by JeongMok Ha, Jeayoung Jeon, GiYeong Bae, SungYong Jo & Hong Jeong

, ICCAS, 14th International Conference on Control, Automation and Systems (1st)

📄 Polygonal symmetry transform for detecting rectangular traffic signs by Jea Young Jeon, JeongMok Ha, Sung Yong Jo, Gi Yeong Bae, Hong Jeong

, ICS-KIEE (1st, equivalent)

🎓 A Study on a Visible Light Communication using LED in Under-water Environment by Daehee Lee, Ki-Sung Park, Jea-Young Jeon, Yeon-Mo Yang

Certifications

(Expired in )

🐈‍⬛ GitHub Foundations from GitHub

(Expired in )

🐙 CAPA: Certified Argo Project Associate from The Linux Foundation

(Expired in )

🐳 CKAD: Certified Kubernetes Application Developer from The Linux Foundation

(Expired in )

🐳 CKA: Certified Kubernetes Administrator from The Linux Foundation

Skills

Highlighted items are specialized in industry-ready.

MLOps & LLMOps
Keywords:
  • Ollama
  • OpenAI API
  • RAG
  • AutoRAG
  • Kubeflow
  • AutoML Katib
  • Training Operator
  • JupyterHub
  • Data Pipelines
DevOps & SRE
Keywords:
  • Kubernetes
  • On-Premise
  • AWS EKS
  • GCP GKE
  • Hybrid Clusters
  • ARM64
  • IaC
  • Kubespray
  • Terraform
  • Ansible
  • Istio
  • Grafana Stack
  • Karpenter
CI/CD/CT/CT
Keywords:
  • Argo Projects
  • Bitbucket Pipelines
  • GitHub Actions
  • Self-Hosted Runner
  • Kaniko
  • Buildah
  • Locust
  • Litmus
ML Backend
Keywords:
  • Python/FastAPI
  • Ollama
  • Milvus
  • PostgreSQL
  • Redis
Computer Vision
Keywords:
  • Automotives
  • SLAM
  • PyTorch
  • OpenCV
  • FPGA
UI/UX
Keywords:
  • Slackbot
  • Python/FastUI
  • Open WebUI
  • Chainlit
  • .NET/MAUI
  • .NET/WPF
  • Unity
FinOps & BizOps
Keywords:
  • Kubecost
  • Continuous BI
Programming languages
Keywords:
  • Python
  • .NET/C#
  • C/C++
  • MATLAB

Interests

Research/Dev
Keywords:
  • Agentic RAG
  • Digital Twins
  • AMD-to-ARM Transition
  • Hybrid Clusters
DevOps Culture
Keywords:
  • Coop First, Tech Next
  • Automate as Possible
  • Internal Development Platform
Home Clusters
Keywords:
  • Raspberry Pies
  • Personal RAG
  • Live Demo

Languages

Korean
Fluency: Native
English
Fluency: Working Proficiency