Notes
Structured notes from courses I've taken, explanations of famous papers, and deep-dives into topics or math concepts I wish someone had explained clearly when I first encountered them.
📓 Course Notes
Notes from courses at IIT Bombay and beyond — condensed, annotated, and made useful for revision.
📄 Famous Papers, Explained
Careful walkthroughs of landmark papers — what they actually claim, why it matters, and what people get wrong about them.
Coming soon — Attention Is All You Need, DPO, bandit algorithms, and recommendation system classics.
🧮 Concepts & Math, Made Clear
Topics and math ideas explained the way I wish they'd been explained to me — from first principles, with intuition before formulas.
Coming soon — KL divergence, exploration vs. exploitation, preference learning, and transformer internals.