Naoya Yoshimura
Organizer at GDG Tokyo
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolNaoya Yoshimura is a machine learning engineer and community organizer in Tokyo with a Ph.D. from Osaka University and a decade of experience applying sensor-driven activity recognition to industrial problems. His doctoral work produced the OpenPack dataset and led the OpenPack Challenge at PerCom 2023, bridging academic research and practical deployment for worker monitoring in factories and logistics centers. He has transitioned research into production through roles at Woven by Toyota and Woven Planet, focusing on computer vision and MLOps for built environments. Active in developer communities as a GDG Tokyo organizer and former GDSC lead, he combines technical depth with event leadership to connect researchers and practitioners. Notably, his work leverages IMU-to-image representations for time-series classification—an approach that underpins both his publications and applied systems.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Multimedia Engineering, Doctor of Philosophy - PhD, Multimedia Engineering at 大阪大学
Github Skills (27)
activity-recognition10
django9
laravel9
php9
js-template8
cms8
pytorch8
gpu7
flask7
deep-learning6
inference6
python6
fastapi6
algorithms5
reinforcement-learning4
Programming languages (7)
Github contributions (5)
gdsc-osaka/official-web
Feb 2022 - Jun 2022
GDSC大阪大学支部 公式ページ
Contributions:12 reviews, 30 PRs, 97 pushes in 3 months
gdscnuxtgoogle-developer-student-club
open-pack/openpack-dataset
Aug 2022 - Aug 2024
OpenPack Dataset: a new large-scale multi modal dataset of manual packaging process.
Contributions:3 reviews, 24 PRs, 82 pushes in 2 years
multimodalactivity-recognitiondataset
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