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    <title>Home on </title>
    <link>https://kovacoj.github.io/</link>
    <description>Recent content in Home on </description>
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    <lastBuildDate>Sun, 31 May 2026 12:00:00 +0000</lastBuildDate>
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      <title>Welcome</title>
      <link>https://kovacoj.github.io/posts/welcome/</link>
      <pubDate>Sun, 31 May 2026 12:00:00 +0000</pubDate>
      <guid>https://kovacoj.github.io/posts/welcome/</guid>
      <description>&lt;p&gt;This is the first post on the site.&lt;/p&gt;
&lt;p&gt;It is here mostly to prove the full flow works:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Markdown content&lt;/li&gt;
&lt;li&gt;Hugo build&lt;/li&gt;
&lt;li&gt;GitHub Pages deployment&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Delete it, rewrite it, or use it as a template for future posts.&lt;/p&gt;</description>
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      <title>Research</title>
      <link>https://kovacoj.github.io/research/</link>
      <pubDate>Sun, 01 Jun 2025 00:00:00 +0000</pubDate>
      <guid>https://kovacoj.github.io/research/</guid>
      <description>&lt;p&gt;My research interests lie in numerical mathematics and computational methods for large-scale machine learning and scientific computing.&lt;/p&gt;
&lt;p&gt;I am particularly interested in randomized algorithms and mixed-precision arithmetic, especially where they can improve performance, stability, and scalability of modern machine learning workflows.&lt;/p&gt;
&lt;p&gt;More broadly, I am interested in the algorithms and numerical methods that make ML systems work efficiently at scale, rather than treating models as black boxes.&lt;/p&gt;</description>
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      <title>About</title>
      <link>https://kovacoj.github.io/about/</link>
      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
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      <description>&lt;p&gt;I hold a Bachelor&amp;rsquo;s degree in Physics and am currently pursuing a Master&amp;rsquo;s in Mathematical Modelling with a focus on numerical mathematics. My interests lie at the intersection of machine learning, data science, and numerical computation, particularly in understanding the mathematical and algorithmic foundations behind modern ML systems.&lt;/p&gt;
&lt;p&gt;Rather than treating machine learning models as black boxes, I am interested in the algorithms and numerical methods that make them work efficiently at scale. My work and studies focus on the computational aspects of ML systems and the design of efficient algorithms for large-scale problems.&lt;/p&gt;</description>
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