<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet href="/scripts/pretty-feed-v3.xsl" type="text/xsl"?><rss version="2.0" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:h="http://www.w3.org/TR/html4/"><channel><title>Kevin Gao</title><description>Software Engineer · AI Systems · Building in public</description><link>https://kevingao25.github.io</link><item><title>Hello World — Why I&apos;m Starting This Blog</title><link>https://kevingao25.github.io/blog/hello-world</link><guid isPermaLink="true">https://kevingao25.github.io/blog/hello-world</guid><description>An introduction to this blog: what I&apos;ll be writing about, why I&apos;m making the jump from distributed systems to AI engineering, and what you can expect.</description><pubDate>Sat, 14 Mar 2026 00:00:00 GMT</pubDate><content:encoded>&lt;h2&gt;Why This Blog Exists&lt;/h2&gt;
&lt;p&gt;I&apos;m Kevin — a software engineer at AWS DynamoDB transitioning into AI engineering. This blog is where I&apos;ll document what I learn, build, and think about along the way.&lt;/p&gt;
&lt;p&gt;After graduating from the University of Waterloo and spending time building distributed systems at scale, I&apos;ve become deeply fascinated by what&apos;s happening in AI — particularly at the systems layer. Not just the models, but the infrastructure around them: RAG pipelines, agent orchestration, evaluation frameworks, and the engineering craft of making AI systems reliable in production.&lt;/p&gt;
&lt;h2&gt;What I&apos;ll Write About&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;RAG Systems&lt;/strong&gt; — Retrieval-augmented generation architectures, chunking strategies, vector databases, and retrieval evaluation&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;AI Agents&lt;/strong&gt; — Multi-agent orchestration, tool use, planning, and real-world agent design patterns&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;LLM Evaluation&lt;/strong&gt; — Benchmarking, RAGAS, human-in-the-loop evaluation, and how to know if your system actually works&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Systems Thinking&lt;/strong&gt; — Lessons from distributed systems that apply to AI infrastructure&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;Career Notes&lt;/strong&gt; — Reflections on navigating the transition from SDE to AI engineer&lt;/li&gt;
&lt;/ul&gt;
&lt;h2&gt;Building in Public&lt;/h2&gt;
&lt;p&gt;Everything I learn, I&apos;ll share here. The goal is to think clearly by writing, and hopefully help others on a similar path.&lt;/p&gt;
&lt;p&gt;Let&apos;s get started.&lt;/p&gt;</content:encoded><h:img src="undefined"/><enclosure url="undefined"/></item></channel></rss>