<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MLOps on Jaehyeon Kim</title><link>https://jaehyeon.me/tags/mlops/</link><description>Recent content in MLOps on Jaehyeon Kim</description><generator>Hugo -- gohugo.io</generator><language>en</language><copyright>Copyright © 2023-2026 Jaehyeon Kim. All Rights Reserved.</copyright><lastBuildDate>Mon, 28 Sep 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://jaehyeon.me/tags/mlops/index.xml" rel="self" type="application/rss+xml"/><item><title>Learning MLOps with a Feature Store: A New Series</title><link>https://jaehyeon.me/blog/2026-09-28-mlops-with-a-feature-store/</link><pubDate>Mon, 28 Sep 2026 00:00:00 +0000</pubDate><guid>https://jaehyeon.me/blog/2026-09-28-mlops-with-a-feature-store/</guid><description><![CDATA[<p>I am teaching myself MLOps with Jim Dowling&rsquo;s <a href="https://www.oreilly.com/library/view/building-machine-learning/9781098165222/" target="_blank" rel="noopener noreferrer"><em>Building Machine Learning Systems with a Feature Store</em><i class="fas fa-external-link-square-alt ms-1"></i></a>. This series follows that work: I rebuild the book&rsquo;s hands-on projects with open-source tools, running on my laptop.</p>]]></description><enclosure url="https://jaehyeon.me/blog/2026-09-28-mlops-with-a-feature-store/featured.png" length="516299" type="image/png"/></item></channel></rss>