NIKODEM ZYMLA
Computer Scientist
Research-oriented robotics and computer vision M.Sc. student at TUM, working on reconstruction from sparse and unposed imagery, geometric perception, SLAM, and uncertainty-aware world models. Experienced in turning research ideas into robust experimental systems across academic and industrial settings.
Skills
Experience
Research Working Student — Fraunhofer IKS
Researching quantum-inspired and tensor-network methods for efficient model compression and industrial safety-critical applications. Co-authoring a journal manuscript on the resulting work.
Workshop Presenter — IEEE/RSJ IROS 2026
Presented accepted work on adaptive rollout truncation based on epistemic uncertainty for efficient offline world model training.
Working Student — SIEMENS
Research in Modelling, Optimization & Simulation.
Software Engineer — SIEMENS
Built data pipelines and model serving for time series analysis.
Team lead — RunningSnail Racing Team
Designed an autonomously driving racing car.
Dual student — SIEMENS
Supported IT automation and AWS integration.