<?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>System Design on Shubham | Full Stack &amp; AI Engineer</title><link>https://w3shubh.com/tags/system-design/</link><description>Recent content in System Design on Shubham | Full Stack &amp; AI Engineer</description><generator>Hugo</generator><language>en</language><lastBuildDate>Tue, 15 Apr 2025 00:00:00 +0530</lastBuildDate><atom:link href="https://w3shubh.com/tags/system-design/index.xml" rel="self" type="application/rss+xml"/><item><title>6sense: From Hackathons to AI Pipelines</title><link>https://w3shubh.com/posts/pandora/</link><pubDate>Tue, 15 Apr 2025 00:00:00 +0530</pubDate><guid>https://w3shubh.com/posts/pandora/</guid><description>A 4.5-year journey scaling frontend architectures, merging acquisitions, building big data pipelines, and shipping Generative AI infrastructure.</description></item><item><title>AI Email Writer — LLM-Powered Outbound at Scale</title><link>https://w3shubh.com/posts/ai-email-writer/</link><pubDate>Wed, 15 Jan 2025 00:00:00 +0530</pubDate><guid>https://w3shubh.com/posts/ai-email-writer/</guid><description>Built an LLM email generation system processing 1,500+ emails daily with multi-layer guardrails, achieving 42% reply rates.</description></item><item><title>Building with RAG and Vector Databases</title><link>https://w3shubh.com/posts/rag-vector-databases/</link><pubDate>Wed, 15 May 2024 00:00:00 +0530</pubDate><guid>https://w3shubh.com/posts/rag-vector-databases/</guid><description>Designing advanced LLM architectures using Retrieval-Augmented Generation to ground AI responses in proprietary data.</description></item></channel></rss>