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Deep dives into ML architectures and thoughts on culture, art, and everything in between.

You can still become a senior engineer in vibe coding era

How you can run Minimax-2.5 and GLM-5 in Claude Code

I tried to understand Kimi K2.5 from First Principles.

The Harness is the Product

agent security might be a thing!

Understanding KL Divergence in Diffusion Generative Models and Beyond

Initial thoughts on Llama 4 - Hype?

Transfer Learning 101

Why Generative Modelling is so Hard?

A brief overview of generative modelling and its challenges.

AI 101 - Bridging the Gap

Deepseek-v3 101

Introduction to Deep RL

A beginner's guide to Reinforcement Learning using the story of Ayanokoji from Classroom of the Elite.

Qwen2.5-Omni 101

My ML Internship Interview Experience at an US-based Startup (Selected)

Sharing my experience of the ML internship interview process at a US-based startup, including the challenges faced and how I overcame them.

Python GIL - Global Interpreter Lock

SigLIP Paper - hola sigmoid!

CNN from Scratch with pure Mathematical Intuition

A comprehensive guide to understanding Convolutional Neural Networks (CNNs) from the ground up.

Diffusion Models - bit by bit

RP#1 - Physics of Language Models

Introducing pydantic - data saviour

Decoding Spell Chckers

My Internship Interview Experience at Trust Lab, IIT Bombay (Selected)

Research Internship at IITs, NITs, IIITs and other Top Research Institutes