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The Blog
Writing is part of the work. These posts track progress, sharpen understanding, and make the journey legible.
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3 posts
Built for progress notes, project filters, and technical reflection that compounds.
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Python3 min read
3 min read
What I wish I knew before writing my first Python ML pipeline
Practical lessons from the mistakes nobody warns you about — data leakage, silent bugs in preprocessing, and why your test accuracy is probably lying to you.
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AI / ML3 min read
3 min read
The difference between reading about gradient descent and actually understanding it
Gradient descent shows up in every ML explanation. Most of those explanations tell you what it is without helping you feel why it works. This post tries to close that gap.
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AI1 min read
Building My AI Learning System (Instead of Chasing Tutorials)
A practical approach to building a structured AI learning system instead of endlessly consuming random tutorials.
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