I am an AI engineer at Araya Inc. with a background in computer vision research, specializing in industrial anomaly detection, representation learning, and generative modeling.
My work focuses on practical and robust machine learning methods for visual inspection, especially in manufacturing settings where defective samples are scarce and strong generalization matters more than benchmark cosmetics.
I am particularly interested in pseudo-defect generation, domain-specific pre-training, feature modeling for anomaly detection, and bridging the gap between academic research and deployable AI systems.
Beyond research, I actively develop deep learning implementations in both Python and C++, including large-scale open-source work built on PyTorch and LibTorch.
↓ Download CV (PDF)- The Institute of Electronics, Information and Communication Engineers (IEICE)
- IEEE