Yuto Nakashima
Research Staff at The University of Tokyo
Tokyo, Japan
Summary
👤
Senior🎓
Top SchoolYuto Nakashima is a research-focused machine learning engineer and data scientist based in Tokyo with nine years of industry and research experience, currently a Research Staff at the University of Tokyo specializing in data-driven value exchange engineering. He has built production ML systems across advertising, recommendation, and chatbot domains at companies like Rakuten, Recruit, and Johnson & Johnson, and improved model accuracy and business KPIs through clustering, recommendation tuning, and feature development. His open-source contributions to prominent JSK ROS packages demonstrate both C++/ROS backend skills and hands-on ML model integration (including depth prediction), while his QA and test automation work shows a practical commitment to reliability. A polished Python/R/TensorFlow/PyTorch practitioner with a perfect 4.0 master's record, he pairs academic rigor with product impact and a proven ability to spot critical bugs that affect business outcomes.
9 years of coding experience
1 year of employment as a software developer
University of Tokyo
Japanese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (10)
unit-testing10
python10
ros10
cprogramming-language9
machine-learning9
c-language9
computer-vision9
pytorch8
tensorflow8
fest4
Programming languages (6)
Github contributions (5)
jsk-ros-pkg/jsk_recognition
Jul 2017 - Jun 2020
JSK perception ROS packages
Role in this project:
Back-end Developer & ML Engineer
Back-end Developer & ML EngineerContributions:711 commits, 24 PRs, 149 comments in 2 years 11 months
Contributions summary:Yuto contributed to the JSK perception ROS packages by implementing new functionality for the `bounding_box_to_rect` node. They added support for `BoundingBox` as an input topic, modifying the C++ code and header files to accommodate this change. Additionally, the user integrated a depth prediction model within a Python script (`fcn_depth_prediction.py`), including adding the necessary trained data and documentation, demonstrating skills in both ROS development and machine learning model integration.
ros
jsk-ros-pkg/jsk_visualization
Aug 2018 - Feb 2020
jsk visualization ros packages
Role in this project:QA Engineer / Test Automation Engineer
QA Engineer / Test Automation EngineerContributions:45 commits, 15 PRs, 22 comments in 1 year 6 months
Contributions summary:Yuto's contributions primarily revolve around enhancing the testing framework for ROS packages within the repository. They added a test file for `jsk_rqt_plugins`, including several test cases. The user updated existing tests for `rqt_3d_plot` and `rqt_drc_mini_maxwell`, ensuring the plugin's functionality. Furthermore, they added sample scripts related to plugins which indicate a focus on testing and validation of the visualization components.
rosvisualization
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