BA
Pranava

I study AI/ML from the ground up — starting from measure-theoretic probability and working outward into information theory, statistical inference, and quantitative finance. My interest isn't in applying off-the-shelf models; it's in understanding the mathematical substrate that makes them work — or fail.

Currently moving through Feller's Probability and Polyanskiy & Wu's Information Theory — because compression, inference, and generalisation are, at some level, the same problem.