The University of Tokyo
Master of Advanced Studies, Interdisciplinary Information Studies
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I am an interdisciplinary technical artist and designer with a strong background in translating complex research and visual concepts into data-driven, technically robust systems. My experience includes developing high-fidelity 3D simulations, building procedural content systems, and creating custom Python tools for exporting and managing large-scale spatial and parameter data—skills directly applicable to data labeling and AI training data workflows. I have worked on museum-scale interactive installations, integrating analytical thinking, programming (Python, C#, C++), and creative problem-solving to optimize pipelines for real-time performance and production efficiency. My research at The University of Tokyo focused on user-centered system design, iterative prototyping, and validation, often dealing with physiological data and interactive applications, which further honed my ability to handle, annotate, and structure complex datasets for machine learning and AI applications.
アルミ コ. hasn’t added any AI Training or Data Labeling experience to their OpenTrain profile yet.
Master of Advanced Studies, Interdisciplinary Information Studies
Bachelor of Engineering, Industrial Design
Visual Designer and Technical Artist
Project Researcher (Specially Appointed)