Writing
Deeply researched articles on AI, history, and progress
The Republic of Labour: Three Fires and a Funeral of Trust
It was one of those languid afternoons on the 17th of March, in the quiet familiarity of the office, when I found myself seated beside my colleague, Mr. Sujit, though, in truth, I have never quite managed to call him anything but “Sir,” for “Mr. Sujit” has always felt curiously alien to my keystrokes. The sun lingered lazily outside, ambition briefly abdicated its duties, and like many modern professionals in moments of reflective indolence, I drifted into the infinite archive of human opinion. Somewhere between fragmented news reports, regional coverage, and the ceaseless churn of social media discourse, a troubling pattern began to emerge. Not of isolated incidents but of recurring tensions within industrial ecosystems.
10 Productivity Systems I Tried (And Which One Stuck)
From GTD to Pomodoro to time-blocking — my honest review of popular productivity frameworks.
Remote Work and the Future of the Office Economy
How the shift to remote work is reshaping commercial real estate, urban planning, and labor markets.
The Stoic Programmer: Ancient Philosophy for Modern Developers
What Marcus Aurelius, Seneca, and Epictetus can teach us about shipping software.
Understanding Transformer Architecture: Attention Is All You Need
A detailed breakdown of the transformer architecture that powers modern AI.
Why Every Developer Should Write
Writing isn't just for authors — it's the most underrated skill in software engineering.
Getting Started with Neural Networks: A Practical Guide
A hands-on introduction to building your first neural network from scratch with Python and NumPy.
The Economics of Attention in the Digital Age
Why attention has become the most valuable currency — and what it means for creators and consumers.
Building a Personal Knowledge Management System
How I built a second brain using Obsidian, Notion, and custom scripts to organize 10 years of notes.
The Rise of Large Language Models: A Comprehensive Overview of it
From GPT to Claude — a deep look at how large language models are reshaping the AI landscape.