Summary
Anton Debner is an AI Engineer and recent PhD graduate from Aalto University with a decade of experience building practical ML systems centered on deep reinforcement learning and game-engine simulation. His research advanced scalable DRL in game engines, enabling more human-like, creative NPC behaviors and novel playtesting techniques such as procedurally generated level scoring by skill diversity. He has applied similar simulation pipelines to generate virtual sensor data (RGB, RGB-D, LiDAR, positional) for autonomous vehicles and industrial environments, bridging the sim-to-real gap. Anton also designed and operated large-scale automated grading systems for programming courses, cutting manual effort through custom tooling that handles everything from diagram grading to concurrency detection. Now at Eminus Industries, he trains and tests state-of-the-art models while continuing to ship game-related demos and open projects that reflect a hands-on, research-driven approach to applied AI.
10 years of coding experience
2 years of employment as a software developer
Doctor of Science, Computer Science, Doctor of Science, Computer Science at Aalto University