My Technical Journal

A technical journal of what I learn in AI and mathematics, each idea explained simply, in my own words, with no steps skipped.

• Part One - A point on a rotating wheel | Fourier Transform use cases in AI

  2026-10-29 · 6 min read

  Understanding what is meant by frequency, and how to represent the position of point on a rotating wheel through time.

• Lipschitz constant for four layers in Neural Networks

  2026-10-26 · 8 min read

  Calculating the Lipschitz constant for 4 layers in Neural Networks.

• Gradient Descent Algorithms! Ready steady Go!

  2026-10-25 · 4 min read

  Some basic Gradient Descent Algorithms that I learned.

• I got better at Asynchronous programming in Python

  2026-09-23 · 3 min read

  Comparing Sync and Async. Understanding different ways of writing async code in Python.