Former product manager in utility software (Veritas) with a degree in Ancient Greek Language and literature.

I programmed my first game on the Apple II at the age of 10, and more recently have been promoting a form of partisan sudoku that transforms the constraint system into a set of novel, non-chance, perfect information territory-control strategy games in the class of Chess and Go. (Beta available here--free, ad-free, purchase free and collects no data. <10MB on Android!)

Currently architecting a set of pure strategies that can be combined to produce automata with a range of strengths and inclination for vs. human play. *(Eventually we'll utilize a deep learning model for pure strength, but the initial goal is to pursue a "strategy ladder" AI approach to facilitate human learning. The game is suitable for ages 5+, so AIs that are weak in meaningful ways are useful, such as the random player which 5 year-olds can beat.)

Currently reading up on discrete maths, graph theory, and computational complexity theory.