Daniel Herman

A forensic teardown of 40 Chrome extensions that read cookies, exfiltrate full browsing history, scrape page content, or enroll users in market-research panels, all undisclosed.

I tested ML-KEM and ML-DSA across Sequoia and GopenPGP.

A comprehensive breakdown of every confusion matrix metric, explaining what it is, when to use it, and the formula behind it.

A practical framework that sorts work by urgency and enjoyment, then turns vague obligations into atomic tasks.

From childhood web projects and physics to production ML systems: the path that shaped how I build.

How coding with language models moved from a novelty to a practical change in the way I build software.

How pooled tests and adaptive search can identify rare malicious files with far fewer expensive scans.

What I have learned after four years in Data Science.

The evidence that ChatGPT knows my IP geolocation.

How to overcome bias in zero-shot classification with LLM

Rick Astley is embedded in LLM weights making him immortal.

Korea has cameras on every single corner.

Guide to linear and weighted regression, focusing on fitting with measurement errors and error propagation into parameters.

For those who are not familiar, polars is package like pandas, but faster, better and written in rust.