Become a great builder
in the AI Era
In-depth writing on machine learning, data engineering, and the systems behind modern AI — for people who want to go from curious to capable.
Most learning stops at the surface.
This one doesn't.
There's no shortage of tutorials that show you what a Transformer does. There's a real shortage of writing that shows you why every design decision was made, and what happens when you change it.
nirmata.dev is written for builders who want that second layer — people who are not satisfied until they could explain it to someone else, implement it from scratch, and debug it when it breaks.
Intuition first
Every concept is explained from first principles before the math. If you don't feel it, you don't own it.
Connections, not silos
Math, code, and systems thinking are taught together — because real problems never respect disciplinary boundaries.
Build to understand
Every major concept comes with runnable code. The fastest path to understanding is making something that works.
Six tracks, one goal: build things that work
Each track goes deep — theory, intuition, and code — so you can go from reading a paper to running experiments.
ML / DL / RL
Neural networks from scratch, backprop, reinforcement learning — and the architectures that changed everything.
AI Engineering
RAG pipelines, agentic loops, prompt engineering, and the complete picture of building with modern foundation models.
Backend Engineering
APIs, databases, streaming systems, and the infrastructure that feeds every production AI application.
Cloud Infrastructure
Kubernetes, serverless, VPCs, and CI/CD — deploying and scaling AI applications reliably in the cloud.
Model Inference
CUDA kernels, memory bandwidth, batching strategies — how to make training and serving fast.
Distributed Systems
Async workloads, replicas, horizontal scaling, and the architecture of highly concurrent systems.
Start here
Coming soon
Learned Positional Embeddings — BERT's approach
RoPE — Rotary Positional Embedding
Attention from scratch: keys, queries, values
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