<?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>Posts on Sabarish's Space</title><link>https://sabarishks.com/</link><description>Recent content in Posts on Sabarish's Space</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 13 Jun 2026 13:52:35 -0700</lastBuildDate><atom:link href="https://sabarishks.com/index.xml" rel="self" type="application/rss+xml"/><item><title>About</title><link>https://sabarishks.com/about/</link><pubDate>Sat, 13 Jun 2026 13:52:35 -0700</pubDate><guid>https://sabarishks.com/about/</guid><description>&lt;p>Hi, I&amp;rsquo;m &lt;strong>&lt;a href="https://linkedin.com/in/sabarishks/" target="_blank" rel="noopener">Sabarish Kuduwa&lt;/a>&lt;/strong>.&lt;/p>
&lt;p>I am a Technical Lead at Uber working on Document Understanding. I architect spatial models and Vision-Language Models (VLMs) to scale document transcription globally, operating beyond human baseline accuracy.&lt;/p>
&lt;p>Previously, I was the Technical Lead at the robotics startup Ebots, where I built the core Perception Stack—spanning from 3D reconstruction to pose estimation for embodied systems.&lt;/p>
&lt;p>My work sits at the intersection of multimodal reasoning and physical space. I am focused on mathematically forcing models to obey spatial constraints and dropping down into the C++/CUDA architectures that allow machines to perceive the physical world. This site is a clean-room repository for my technical deep-dives, architectural notes, and open-source experiments.&lt;/p></description></item></channel></rss>