Naoya Yoshimura
Organizer at GDG Tokyo
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolNaoya Yoshimura is a machine learning and MLOps engineer based in Tokyo with nine years of experience bridging research and production. He earned a PhD from Osaka University, specializing in activity recognition from wearable sensors and making impact with the OpenPack dataset and the OpenPack Challenge at PerCom 2023. In industry, he currently helps build and operationalize ML systems at Woven by Toyota, combining model development with robust deployment practices. He also leads the GDG Tokyo community, fostering knowledge sharing and events for engineers across Japan. His work uniquely blends industrial IoT, time-series analysis, and scalable ML infrastructure, reflecting a track record of turning academic innovations into production-ready solutions.
9 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 (32)
activity-recognition10
django9
laravel9
php8
cms8
pytorch8
machine-learning6
gpu5
deep-learning5
js-template5
inference5
deep-reinforcement-learning4
nuxt-module4
reinforcement-learning4
vue3
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-toolkit
May 2022 - Dec 2022
Utilities for OpenPack Dataset.
Contributions:1 release, 2 reviews, 234 commits in 6 months
activity-recognitiondataset
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