PhD Computer Science Blog

Where theory meets
the real world

Deep technical writing on algorithms, systems, AI, networking, and everything in between — authored by a PhD researcher who actually writes the code.

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Big-O Complexity TCP/IP Stack Git Internals Neural Networks B-Tree Indexes CFS Scheduler Rust Memory Safety CAP Theorem Regex Engines Quantum Computing 101 Big-O Complexity TCP/IP Stack Git Internals Neural Networks B-Tree Indexes CFS Scheduler Rust Memory Safety CAP Theorem Regex Engines Quantum Computing 101

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Big-O Notation: Measuring Algorithm Efficiency

Understanding time and space complexity is the cornerstone of writing performant software. We break it down visually with real examples.

May 28, 2025·8 min read

TCP/IP Deep Dive: How the Internet Actually Works

From browser to server rack — every byte traverses a layered stack of protocols. Here is the full picture.

May 20, 2025·11 min read

Git Internals: What Happens When You Commit

Git is a content-addressable filesystem with a version-control interface layered on top. Explore its object model.

May 14, 2025·9 min read

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Neural Networks Explained for Programmers

Strip away the hype — at their core, neural networks are differentiable function approximators trained via gradient descent.

May 8, 2025·14 min

Database Indexing: B-Trees, Hash Indexes & More

A slow query can often be fixed in minutes with the right index — but picking the wrong one makes things worse.

Apr 29, 2025·10 min

OS Scheduling: From Round-Robin to CFS

How does your OS decide which process runs next? The answer has evolved over 60 years of systems research.

Apr 22, 2025·12 min