Learning in public, from first principles to working systems.
I study ideas in artificial intelligence by reading closely, implementing them, and writing down what becomes clear.
Current interests
01
Retrieval systems
How search, representation, and generation work together in grounded AI systems.
02
Model understanding
Clear mental models for transformers, language models, and the systems around them.
03
Research software
Tools and workflows that make experiments reproducible, legible, and useful.
Research notes
What Is RAG?
Understanding Retrieval-Augmented Generation — how combining search with LLMs creates more accurate, grounded AI systems.
February 22, 2026 · 3 min read
What Is a Transformer?
A beginner-friendly explanation of the Transformer architecture that powers modern AI — from attention mechanisms to why it changed everything.
February 20, 2026 · 3 min read