A network, learning
A 105-parameter neural network learns to separate two kinds of points.

I’m an AI engineer in Toronto and Head of Engineering at STRATIS, where we connect media and creative data to decisions. Outside work I build Crowns, a daily logic puzzle, and interactive experiments.
Puzzle
One crown in every row, column and region, with no two touching.
Lab
A 105-parameter neural network learns to separate two kinds of points.
Each cell looks at itself and its two neighbours, and one rule decides the next row.
A trefoil knot, shaded face by face on a flat 2D canvas. Drag to turn it.
Notes
How the Crowns generator turns a random board into a logic puzzle with exactly one answer.
How three cells and eight decisions become a pattern that is hard to predict by eye.
Inside the lab’s small network: weights, backpropagation, and what training fit does and doesn’t mean.