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  <title>Angelo Manos</title>
  <link>https://angelomanos.com/</link>
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  <description>I build the platforms teams ship on — backend systems, cloud infrastructure, and the ML pipelines that keep models honest between training and production.</description>
  <language>en-us</language>
  <item>
    <title>Keeping training and serving honest: a feature store walkthrough with Feast, Flink and Kafka</title>
    <link>https://angelomanos.com/blog/feature-stores-training-serving-skew/</link>
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    <pubDate>Wed, 21 Oct 2026 12:00:00 GMT</pubDate>
    <description>A tour of feast-demo, a batteries-included project that trains and serves a track-skip model, and why the feature store in the middle is the part that keeps the model from lying to you.</description>
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