Tomohiko Yokoyama

Currently an Applied Engineer at Sakana AI, where I build LLM agent systems with enterprise clients in the Japanese financial sector, taking projects from the initial proposal through PoC to enterprise solutions. I have delivered AI systems to Japanese enterprises and public-sector organizations, working with clients in Japanese and within engineering teams in Japanese / English. My background spans algorithm design, machine learning, and full-stack implementation. I hold a PhD in Information Science and Technology from the University of Tokyo.

ORCID Google Scholar Speaker Deck

Engineering Experience

Applied Research Engineer

(09/2025 - Present)
Sakana AI

R&D Engineer

(09/2022 - 09/2025)
Liquitous

ML Engineer, Data Scientist

(02/2022 - 02/2025)
Mirai Share

ML Engineer Intern

(08/2018 - 12/2018)
LegalOn Technologies

Research Experience

Assistant Technical Staff

(04/2022 - 09/2025)
The University of Tokyo

Research Visit

(01/2024 - 02/2024)
National University of Singapore

Research Scientist

(02/2023 - 08/2024)
CyberAgent

R&D Internship

(09/2020 - 09/2020)
NTT

Projects

Kajibuntan (Household Chore Division Application) GitHub Live Demo Article

We developed a web application using fair division algorithms for household chore allocation. Developed as part of a Code for Japan project. Featured on NHK (Japan's national public broadcasting).

PyMallows GitHub

This is a Mallows model sampling library written in Rust with Python bindings. Generating votes and rankings.

Education

PhD in Information Science and Technology, Mathematical Informatics

(10/2022 - 09/2025)
The University of Tokyo

Master of Information Science and Technology, Mathematical Informatics

(04/2020 - 03/2022)
The University of Tokyo

Bachelor of Engineering, Mathematical Engineering and Information Physics

(04/2016 - 03/2020)
The University of Tokyo

Publications