Keisuke Shimatani
Software Engineer at Daikin Industries, Ltd.
Osaka, Japan
Summary
👤
Senior🎓
Top SchoolKeisuke Shimatani is a software engineer based in Osaka with nine years of professional experience and a background in electronic engineering from Doshisha University. He currently develops software at Daikin Industries and specializes in real-time mobile AI applications, notably an Android YOLOv2-based garbage detection and classification app using TensorFlow Mobile. His projects demonstrate a practical focus on embedded and mobile computer vision, including multi-emotion classification and creative uses of 360-degree imaging for automated judging systems. Known for pragmatic, focused work habits (echoed by a personal motto from Naomi Osaka), he prioritizes projects that align with his interests and deliver tangible impact. Keisuke blends academic electronics training with hands-on ML deployment, making him effective at turning vision models into production-capable mobile solutions.
10 years of coding experience
学士, 電子工学科, 学士, 電子工学科 at 同志社大学
Stackoverflow
83reputation
9kreached
4answers
7questions
Github Skills (88)
convolutional-neural-networks10
vulnerabilities9
freebsd9
administrator9
android9
object-detection8
darknet8
linux8
wordpress8
cybersecurity8
golang8
imagenet8
vulnerability-scanners8
security8
security-automation8
Programming languages (9)
Github contributions (5)
keides2/android-yolo-v2
Sep 2018 - Jan 2021
リアルタイムなゴミ分別支援アプリです - Android YOLO real time garbage detection and classification smartphone application with Tensorflow mobile.
Contributions:9 commits, 30 pushes, 3 branches in 2 years 5 months
androidclassificationmobiletensorflow
keides2/cov_lint
Aug 2023 - Jun 2026
Contributions:10 pushes, 2 comments in 2 years 9 months
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