<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/">
  <channel>
    <title>Manish Joshi - ML &amp; AI Notes</title>
    <description>Technical articles on machine learning, LLM deployment, agentic AI, and production ML systems by Manish Joshi.</description>
    <link>https://manishjoshi.me/notes</link>
    <atom:link href="https://manishjoshi.me/feed.xml" rel="self" type="application/rss+xml"/>
    <language>en-us</language>
    <managingEditor>hey@manishjoshi.me (Manish Joshi)</managingEditor>
    <webMaster>hey@manishjoshi.me (Manish Joshi)</webMaster>
    <lastBuildDate>Tue, 14 Apr 2026 08:21:32 GMT</lastBuildDate>
    <image>
      <url>https://manishjoshi.me/favicon.svg</url>
      <title>Manish Joshi - ML &amp; AI Notes</title>
      <link>https://manishjoshi.me</link>
    </image>
    <item>
      <title><![CDATA[Claude Code + Remotion: How I Build Videos Without Opening a Video Editor]]></title>
      <description><![CDATA[A practical walkthrough of using Claude Code and Remotion to create programmatic videos — from project setup to rendering. No timeline dragging, no keyframes, just code and conversation.]]></description>
      <link>https://manishjoshi.me/notes/claude-code-remotion-ai-video-creation-pipeline</link>
      <guid isPermaLink="true">https://manishjoshi.me/notes/claude-code-remotion-ai-video-creation-pipeline</guid>
      <pubDate>Sun, 29 Mar 2026 00:00:00 GMT</pubDate>
      <category>AI Automation</category>
      <author>hey@manishjoshi.me (Manish Joshi)</author>
    </item>
    <item>
      <title><![CDATA[NVIDIA NemoClaw and OpenShell: The Future of Autonomous AI Agents]]></title>
      <description><![CDATA[A deep-dive into NVIDIA's open-source NemoClaw stack and OpenShell runtime announced at GTC 2026 — how infrastructure-level safety, sandboxed execution, and privacy routing are reshaping how we build and deploy autonomous AI agents.]]></description>
      <link>https://manishjoshi.me/notes/nvidia-nemoclaw-openclaw-future-autonomous-ai-agents</link>
      <guid isPermaLink="true">https://manishjoshi.me/notes/nvidia-nemoclaw-openclaw-future-autonomous-ai-agents</guid>
      <pubDate>Thu, 19 Mar 2026 00:00:00 GMT</pubDate>
      <category>Agentic AI</category>
      <author>hey@manishjoshi.me (Manish Joshi)</author>
    </item>
    <item>
      <title><![CDATA[Building Agentic AI Systems for Enterprise: A Production Guide]]></title>
      <description><![CDATA[A hands-on guide to building multi-agent AI systems for enterprise, covering LangGraph orchestration, tool design, sandboxed code execution, and LLM-as-Judge evaluation from real production experience.]]></description>
      <link>https://manishjoshi.me/notes/building-agentic-ai-systems-enterprise-production-guide</link>
      <guid isPermaLink="true">https://manishjoshi.me/notes/building-agentic-ai-systems-enterprise-production-guide</guid>
      <pubDate>Tue, 10 Feb 2026 00:00:00 GMT</pubDate>
      <category>AI Engineering</category>
      <author>hey@manishjoshi.me (Manish Joshi)</author>
    </item>
    <item>
      <title><![CDATA[Deploying LLMs On-Prem: A Practical Guide to vLLM, llama.cpp, and KV Cache Optimization]]></title>
      <description><![CDATA[A hands-on engineering guide to deploying large language models on-premise using vLLM and llama.cpp, with real-world insights on KV cache optimization, quantization strategies, and throughput tuning from production deployments.]]></description>
      <link>https://manishjoshi.me/notes/deploying-llms-on-prem-vllm-llama-cpp-kv-cache</link>
      <guid isPermaLink="true">https://manishjoshi.me/notes/deploying-llms-on-prem-vllm-llama-cpp-kv-cache</guid>
      <pubDate>Thu, 15 Jan 2026 00:00:00 GMT</pubDate>
      <category>Machine Learning</category>
      <author>hey@manishjoshi.me (Manish Joshi)</author>
    </item>
  </channel>
</rss>