Work Experience

Preferred Networks, Inc. 2021 - Present

Software Engineer / Product Manager

  • Worked on multiple projects using machine learning and optimization
  • Maintainer of Optuna (open-source hyperparameter optimization framework)
  • Product Manager of MiseMise AI Markdown
Internships

Preferred Networks, Inc. 2019

Machine Learning Intern

FORCIA 2019

Software Engineer Intern

  • Optimized in-memory DB performance with Rust through multithreading and algorithmic improvements.

Others (LINE / Alibaba / Wantedly) 2017 - 2019

Software Engineer Interns

  • Mainly worked on web development.

Education

The University of Tokyo 2015 - 2019

Department of Information Science, School of Science

The University of Tokyo (Graduate School) 2019 - 2021

Department of Computer Science, Graduate School of Information Science and Technology (M.S.). Engaged in machine learning research.

Awards

1st Place 🥇 in "Happywhale - Whale and Dolphin Identification" Apr 2022

Image-based individual identification. Built a metric-learning pipeline with sub-center ArcFace, dynamic margins, bounding-box mixing augmentation, and retrieval. Solution / Code

2nd Place in "G2Net Detecting Continuous Gravitational Waves" Jan 2023

Signal detection in noisy data with a GPU-accelerated matched filter. Solution / Code

3rd Place in "Google Research - Identify Contrails to Reduce Global Warming" Aug 2023

2D segmentation from 3D inputs using a 2.5D U-Net. Solution / Code

5th Place in "Google - Fast or Slow? Predict AI Model Runtime"

Runtime prediction from computational graphs using a GNN with invariant features. Solution / Code

Publications

Please refer to Google Scholar.

Other

Languages

English: IELTS 7.0 (overall)
Chinese: HSK Level 5

Competitive Programming

Codeforces: Orange (profile)
AtCoder: Yellow (profile)