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.
Build your own combos to input on beat, if you want to reach the top of the mountain! Be sure to adapt to the beat if you want to success.
Wishlist Now! →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.