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      <title>Why AI Projects Fail After the Demo</title>
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      <description>A practical look at why impressive AI prototypes often fail in production, and how to reason about the gap between a demo and a dependable system.</description>
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      <title>From LSTMs to RLHF — How One Idea Ignites the Next</title>
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      <pubDate>Sat, 12 Jul 2025 00:00:00 +0000</pubDate>
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      <description>Trace how recurrent networks, attention, transformers, instruction tuning, and RLHF built on one another.</description>
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      <title>From Logistic Regression to Transformers: Learning Path</title>
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      <pubDate>Fri, 24 Jan 2025 00:00:00 +0000</pubDate>
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      <description>A concept-first path from logistic regression through neural networks, attention, and modern transformers.</description>
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      <title>Learning on Your Own: Challenges, Failures, and Successes</title>
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      <pubDate>Fri, 17 Jan 2025 00:00:00 +0000</pubDate>
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      <description>Lessons from the frustrations, false starts, and breakthroughs that come with learning independently.</description>
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      <title>The Magic of Habits</title>
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      <pubDate>Sun, 13 Oct 2024 00:00:00 +0000</pubDate>
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      <description>How small repeated behaviors compound into meaningful change, and how to design habits that last.</description>
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      <title>Finding Light in Unpredictability</title>
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      <pubDate>Thu, 03 Oct 2024 00:00:00 +0000</pubDate>
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      <description>A personal reflection on uncertainty, resilience, and finding room for hope when plans fall apart.</description>
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      <title>Why Should You Learn Mathematics for ML</title>
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      <pubDate>Fri, 13 Sep 2024 00:00:00 +0000</pubDate>
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      <description>How mathematical foundations improve model intuition, debugging, optimization, and technical communication.</description>
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      <title>A Step-by-Step Guide to Securing a Data Science Job</title>
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      <pubDate>Sun, 28 Jul 2024 00:00:00 +0000</pubDate>
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      <description>A field-tested roadmap for building skills, proof of work, and relationships that lead to a data science role.</description>
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      <title>Beyond Memorisation: How Summaries Build Deeper Understanding</title>
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      <pubDate>Sun, 21 Jul 2024 00:00:00 +0000</pubDate>
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      <description>Why writing summaries exposes gaps in understanding and turns passive reading into durable learning.</description>
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      <title>Bias Variance Trade-off</title>
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      <pubDate>Sun, 21 Apr 2024 00:00:00 +0000</pubDate>
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      <description>Understand underfitting, overfitting, and why every useful model must balance bias against variance.</description>
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      <title>How to Find Insights in Data</title>
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      <pubDate>Sun, 21 Apr 2024 00:00:00 +0000</pubDate>
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      <description>A practical framework for moving beyond charts and finding observations that change decisions.</description>
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