Web/Game Developer & Reinforcement Learning enthusiast based in Austria. Currently studying MultiMediaTechnology (Master) with a focus on training intelligent game agents.
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Currently studying MultiMediaTechnology (MMT) with a major in Game Development. My research focus lies in Reinforcement Learning — training intelligent agents to play with or against.
A dungeon-crawler where two AI companions, trained through Reinforcement Learning, fight alongside the player. Choose from three classes — Mage, Druid, or Ranger — and battle waves of undead. Strategic pausing mechanics and progressive difficulty create a tense risk-reward loop.
A chaotic local-multiplayer racing game where up to four players control fish flopping across city streets. Get eliminated by leaving the camera view and watch your fish end up on a sushi plate. Collect checkpoint points and survive to be crowned the ultimate fish racing champion.
A turn-based strategy game on a grid-based map. The Runner must reach the finish line while the Builder disrupts them by placing Tetris-like blocks. The Runner manages limited movement power; the Builder races against fading blocks.
A top-down horror game inspired by Dead by Daylight and Pac-Man. An invisible ghost hunts you — your only clue is your heartbeat, which quickens as the spirit nears. Navigate carefully and outlast the ghost's lifespan to survive.
A multiplayer party game from the MMarmalade WS23 Game Jam. Play as greedy oil tycoons fleeing rising oil tides, sacrificing caged animals (in Tetris-shaped cages) to gain power-ups. Last one standing wins.
A customisable drinking-card game app published on the app store. Players create, tweak, and share custom card decks, then draw random cards that assign challenges. Built on a school project foundation with added social features.
Interested in working together, have a question, or just want to say hi? I'd love to hear from you.