Viewing profile — madman2890

with all of it? wow :)

The Hard Part of Predictive AI Isn’t the Model I’ve spent most of my career building predictive systems on tabular data. The highest-value AI systems I’ve seen in production aren’t…

We need the government to release the alien technology to the public now.

Glad you find it useful.

Even in 2026, most of the work in tabular predictive AI still has very little to do with the model itself. Whether you're using CatBoost, XGBoost, or newer tabular foundation model…

Tabular foundation models like TabPFN and related work are extremely promising. They’re starting to show strong results on many classical tabular ML benchmarks and can reduce the a…

“Smart developer’s quirks” tend to peak in 3-8 years of experience and fade off thereafter. A hipster will never fade off and instead continue hipster coding alongside their identi…

Way overdue, but finally got the docs up for my project graphreduce. Feedback, contributions, and stars welcome!

In data pipelines or MLOps projects I've found that mirroring the code location in the artifact storage location, such as in object stores, to be a helpful pattern. This little lig…

Taking numerous raw tables to a flat ML/AI ready feature vector can be a challenge. This is a lighter weight way of doing it than feature stores, if it may serve you!

I've found feature stores to be overkill for many projects, as I just need point-in-time correctness, abstractions for joining lots of tables and flattening to a specific granulari…