Welcome to my notes on applied ML/CV and developer tooling. Recent posts:
If your organization runs on PDFs, slides, and spreadsheets, a great Document AI pipeline starts with reliable parsing. In this post, I show how I pair Docling for robust structure extraction with a retrieval‑augmented generation (RAG) stack to answer domain questions with citations.
I built DPA, a cross‑platform CLI that automates repetitive dev workflows — project bootstrap, env setup, branch chores, and release cuts. Here’s how Typer and uv made it a joy to use and maintain.
For document QA systems, “looks good” isn’t enough. You need measurable signals that answers are grounded in the source. Here are the checks I use in practice.
I switched from VS Code to Cursor for daily development. One small hiccup on macOS: .code-workspace files didn’t open in Cursor by default. Here’s the fix I use.
If you're tired of slow package installations and complex dependency management in Python, uv might be exactly what you need. Written in Rust, uv is a blazing-fast package manager that aims to replace pip, pip-tools, pipx, poetry, and more. Let's dive into why it's awesome and how to get started.