Blog

2026-02-23

Gradient Descent and Voice Leading: Parallels Between Machine Learning and Classical Music

The same structural ideas keep appearing in both ML theory and classical composition — optimization, overfitting, long-range coherence. The parallel is precise enough to be useful.

2026-02-16

Knowing the Grain: Parallels Between Machine Learning and Woodworking

Inductive bias, distribution shift, and the discipline of understanding your material before acting on it — the same ideas show up in the workshop and in the training loop.

2026-02-05

FTE Adjustment Model: Modeling Productivity Ramps During Employee Leave

A four-phase algorithm for forecasting employee capacity during extended absences, with SQL implementation and interactive charts.

2026-02-03

From BI Dashboards to ML Pipelines: Changing Career Tracks

Reflections on transitioning from business intelligence to machine learning engineering, and why the jump is smaller than you think.