Blog

Exploring how to detect popcorn popping acoustically

Reflections on the sound of wind while cycling in the netherlands, why it changes with head angle, and how loud it can actually get.

A series of principles and practical habits for building, managing, and sustaining computational and data science projects with clarity and reproducibility.

Data is never clean, and that’s okay. Understanding its noise, origins, and structure tells us a lot about the data.

Algorithms are no longer just reacting to data, they are changing the world so that the data better fits them. So algorithms are not neutral at scale, they shape the world. In the process, they begin to cooperate, shape markets, and alter human behavior in ways that look a lot like quiet collusion.

I built a system with DuckDB, and Streamlit to monitor and manage energy prices for better control and planning LLM jobs during winter

An examination of solar irradiance and TSI, including the dataset and preliminary plots.

Hydrothermic vents are one of the known originators of life. In this project, I started with a dataset of 721 vents and studied the geospatial data of the environments where life probably began and is still forming.

Data scientists should have domain-driven thinking and why understanding the problem domain still matters more than the model even in the rise of LLMs.

What I learned from keeping my self-hosted server online 24/7 for a month including real world power costs, hardware optimizations, and why not everything needs to be always-on.