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      <description>Software engineer sharing projects, notes, and guides on ML infrastructure.</description>
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      <managingEditor>sharmaashim00@gmail.com (Ashim Sharma)</managingEditor>
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    <guid>https://ashimsharma10.github.io/blog/anyscale-ray-deep-dive</guid>
    <title>Anyscale and Ray: A Deep Dive into Distributed AI Compute</title>
    <link>https://ashimsharma10.github.io/blog/anyscale-ray-deep-dive</link>
    <description>A comprehensive technical writeup covering why distributed computing for AI is hard, what Ray is, what Anyscale adds on top of it, how it compares to the alternatives, and how to actually use it.</description>
    <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
    <author>sharmaashim00@gmail.com (Ashim Sharma)</author>
    <category>ray</category><category>anyscale</category><category>distributed-computing</category><category>deep-learning</category><category>infrastructure</category>
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    <guid>https://ashimsharma10.github.io/blog/docker-fundamentals</guid>
    <title>Docker Fundamentals</title>
    <link>https://ashimsharma10.github.io/blog/docker-fundamentals</link>
    <description>Docker from first principles — runtime stack, OverlayFS, bridge networking, security, and kernel internals.</description>
    <pubDate>Thu, 11 Jun 2026 00:00:00 GMT</pubDate>
    <author>sharmaashim00@gmail.com (Ashim Sharma)</author>
    <category>docker</category><category>containers</category><category>devops</category><category>infrastructure</category><category>networking</category>
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    <guid>https://ashimsharma10.github.io/blog/mlops-tooling-from-experiment-tracking-to-production</guid>
    <title>MLOps Tooling</title>
    <link>https://ashimsharma10.github.io/blog/mlops-tooling-from-experiment-tracking-to-production</link>
    <description>A conceptual guide to MLOps tooling — MLflow, artifact versioning, reproducible pipelines, framework integrations, alternatives, and deploying and improving models in production.</description>
    <pubDate>Fri, 03 Jul 2026 00:00:00 GMT</pubDate>
    <author>sharmaashim00@gmail.com (Ashim Sharma)</author>
    <category>mlops</category><category>python</category><category>deep-learning</category><category>pytorch</category><category>infrastructure</category><category>guide</category>
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    <guid>https://ashimsharma10.github.io/blog/system-design-etl-pipelines</guid>
    <title>System Design: ETL Pipelines</title>
    <link>https://ashimsharma10.github.io/blog/system-design-etl-pipelines</link>
    <description>How I would design the pipeline that moves a legacy database onto Azure: bulk load and CDC, a medallion lakehouse with a quality gate that actually stops things, star schemas and SCD2, a feature store, and the security, monitoring and cutover plan around it.</description>
    <pubDate>Mon, 17 Aug 2026 00:00:00 GMT</pubDate>
    <author>sharmaashim00@gmail.com (Ashim Sharma)</author>
    <category>data-engineering</category><category>azure</category><category>system-design</category><category>infrastructure</category><category>mlops</category>
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