Summary
Rio Paweroi is a doctoral researcher and JST SPRING research fellow at Kyutech with eight years of experience applying machine learning and generative AI to automate 3D asset creation and build immersive virtual environments. He combines hands-on proficiency in Blender, OpenSim, Python, ComfyUI, and Hugging Face with a strong academic record (PhD candidate, MEng) to design AI-driven pipelines that streamline 3D content workflows. His work spans research, teaching swarm-intelligence experiments, and publishing in international venues, reflecting both practical implementation and scholarly rigor. Based in Iizuka, Japan, he has a background developing Android apps and supporting lab courses, giving him a rare blend of production software development and experimental research skills. Notably, he focuses on optimization algorithms and neural approaches that reduce manual effort in metaverse-scale environment generation.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science - BS, Computer Science, 3.82 of 4.00, Bachelor of Science - BS, Computer Science, 3.82 of 4.00 at Universitas Hasanuddin (Unhas)
Doctor of Philosophy - PhD, Computer Science (Specialized in AI application), 3.75 of 4.00, Doctor of Philosophy - PhD, Computer Science (Specialized in AI application), 3.75 of 4.00 at Kyushu Institute of Technology
English, Japanese, Indonesian