Latest posts
Creating business value from highly imbalanced datasets using mondrian conformal predictors
Recently, a customer offering a subscription service approached us with a churn case. The problem with churn cases is that the dataset tends to become highly imbalanced when we lower the time steps. Learn how we solved the case using mondrian conformal predictors.
DuckDB: Importing Polars dataframes the easy and hard way using Rust
Recently I have been working on a project where I did data manipulation through Polars Dataframes and then wanted to query the result with DuckDB for that OLAP goodness. I wanted to build on the Rust Arrow ecosystem. On the surface, Arrow looks like a nice ecosystem with good interoperability. Polars abstracts over Arrow. DuckDB advertises support for both Polars and Arrow. That turned out to be a mirage.
Building Type Safe Structured Outputs with Rust and OpenAI
I built a Hacker News AI news summarizer and AI relevancy scorer and, as the type safety and consistency enthusiast I am, I decided to explore structured outputs when interacting with the LLM models.
🌊 I am building for the maritime industry!
I am excited to share my latest endeavor: a leap into the maritime industry! Combining my cloud and software expertise with my experience as a captain and my research building AI models based on maritime data, I am revisiting a field I deeply love, now focusing on digital and software innovations.