#MLOps
MLOps is a practice for collaboration and communication between data scientists and operations professionals to help manage production ML (Machine Learning) lifecycles. It focuses on automation and monitoring at all steps of ML system construction, including integration, testing, releasing, deployment, and infrastructure management.
- Blog
🎉 New Role at Hyundai AutoEver: AI/MLOps Engineer
Excited to join Hyundai AutoEver as an AI/MLOps Engineer, focusing on enterprise AI platforms and ML pipelines for automotive domain. <br/><b>Since Feb 24, 2025</b>
- Blog
🏙️ Widearth: AR & Digital Twins Platforms at Maxst
A Fully Managed Platform for Real-World Space-Based AR & Digital Twin Services; I contributed to the development of the platform as a lead ML/Infra engineer.
- Blog
🤖 MLOps: On-Premise MLOps with Open Source Projects
To enhance the efficiency of GPU resources, a case study of an on-premise cluster that provides MLOps services with Kubeflow, Argo Workflows, and more.
- Portfolio🇰🇷
🏙️ Widearth: AR & Digital Twin Platform
A fully managed platform for real-world AR and digital twin services
- Portfolio🇰🇷
🖼️ Portfolio
Portfolio of Jeayoung Jeon, an MLOps/DevOps engineer specializing in AI services and infrastructure