Woven by Toyota, Machine Learning Engineer
Tokyo, Japan · Aug 2025–Present
Build the multimodal perception pipeline for Digital Genba’s logistics digital twin, from data capture and 3D Gaussian Splatting to multi-camera detection and tracking and VLM-based behavior analysis and reasoning. Run production GPU workflows on AWS and deliver reusable ML capabilities to customer teams in Japan and overseas.
Sony, R&D Intern
Tokyo, Japan · Jan 15–Mar 31, 2025
Trained a multi-view diffusion model on the GAIA GPU cluster to generate synthetic street-view and bird’s-eye-view data for autonomous perception. Built a pipeline to synchronize LiDAR, images, 3D boxes, and text.
Preferred Networks, R&D Intern
Tokyo, Japan · Aug 5–Sep 30, 2024
Developed a controllable diffusion model for background generation and tested its generalization against established methods across datasets and artistic foreground styles.
SenseTime Japan, Researcher Intern
Tokyo, Japan · Jun 5–Nov 30, 2023
Co-developed VSRD (CVPR 2024), generating 3D pseudo-labels from 2D masks to eliminate manual 3D box annotation for training. On KITTI-360 Hard, VSRD raised BEV AP@0.3 from 37.34 to 41.28 versus Autolabels with the same detector.
MEGVII, Computer Vision Engineering Intern
Shanghai, China · Jan 5–Mar 30, 2022
Improved parking-slot detection recall by 10% using geometric constraints and targeted data augmentation for occlusion and image-edge cases. MEGVII adopted the model in its automatic-parking perception pipeline.
Tokyo Institute of Technology, Research Assistant
Tokyo, Japan · Apr 1, 2024–Present
Collaborated with a Japanese mapping company on large-scale high-definition (HD) map reconstruction. Investigated 3D Gaussian Splatting (3DGS) for rendering large-scale scenes.
