Interests _

Classic games as ML testbeds: search, heuristics, self-play, and neuroevolution agents for Bomberman, Pac-Man, Frogger, and browser-game clones.

Old School RuneScape's player-driven market as a live economics dataset: price feeds, feasibility backtests, and honest negative results.

NEAT and genetic algorithms, from a 2019 flappy-bird experiment to a C++20 rewrite with browser replays and ablation studies.

Deterministic simulation, seeded replays, and holdout discipline — the difference between a demo and a result you can trust.

Riding and bike tinkering away from the screen.

Tactical games and esports, especially Rainbow Six Siege.

Twisty puzzles, solving techniques, and the practice behind faster solves.

Chess, puzzles, and the tradeoff between calculation and intuition.