AI engineering notebook

Hands-on AI engineering, built and tested before it’s published.

Paper implementations, runnable notebooks and production lessons on LLMs, agents and local AI — from Naresh Matta, an AI Delivery Manager with 15+ years in AI and data delivery.

01 · Runnable code

Snippets are executed before they go live.

02 · Primary sources

Papers and official docs linked, not guessed.

03 · Real setups

Hardware, versions and models are named.

04 · Kept current

Older posts are reviewed, updated or retired. How we work

Run it yourself

Watch the builds

Every notebook pairs with a walkthrough on the SkillWisor YouTube channel.

Building a large language model from scratch in PyTorch
Implementing the TinyLLM Attention Residuals architecture
Naresh Matta

Who writes this

Naresh Matta

AI Delivery Manager in Bangalore with 15+ years running AI, data and quality programs for Fortune-scale technology clients. SkillWisor is where I write up what I build and test — multi-agent systems, LLM internals, evaluation and delivery.

Full bio · LinkedIn · YouTube