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    <channel>
        <title>Alight's Web Logs</title>
        <link>https://alightsweblogs.vercel.app/</link>
        <description>The random technical stuff I write...</description>
        <language>en-us</language>

        <item>
            <title>Building Clipbin</title>
            <link>https://alightsweblogs.vercel.app/building-clipbin.html</link>
            <description>My first blog highlighting my development journey for ClipBin.</description>
            <guid>https://alightsweblogs.vercel.app/building-clipbin.html</guid>
            <pubDate>Sat, 15 Feb 2025 23:06:00 IST</pubDate>
        </item>

        <item>
            <title>Inside the Deepfake Detection Suite: How We Catch Fake Video, Fake Voice, and Fake Images</title>
            <link>https://alightsweblogs.vercel.app/inside-the-deepfake-detection-suite.html</link>
            <description>Deepfake is a rising concern, it causes harm to innocent people. So, we built a decent Deepfake detector with almost no compute resources.</description>
            <guid>https://alightsweblogs.vercel.app/inside-the-deepfake-detection-suite.html</guid>
            <pubDate>Fri, 25 Apr 2025 00:12:00 IST</pubDate>
        </item>

        <item>
            <title>Building a Deep Learning Library From Scratch: How picodl Works</title>
            <link>https://alightsweblogs.vercel.app/building-a-deep-learning-library-from-scratch.html</link>
            <description>Most people learn deep learning by importing "torch" and calling ".backward()". That call feels like sorcery until you've built the thing that makes it work. In this post, you will learn about picodl, a deep learning library written in pure Python with only numpy as a dependency. This post primarily explains the actual mechanics behind autograd, layers, losses, and optimizers.</description>
            <guid>https://alightsweblogs.vercel.app/building-a-deep-learning-library-from-scratch.html</guid>
            <pubDate>Mon, 07 Sep 2026 03:49:00 IST</pubDate>
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