I'm a software engineer at Sony Honda Mobility, working on the mobile app development team. I hold a Master's degree in Computer Science from Waseda University, where I researched quantum computing algorithms for combinatorial optimization.
During my graduate studies, I simultaneously worked as a long-term intern at Quanmatic — a university spin-off — where I built production systems spanning backend APIs, cloud infrastructure, frontend UIs, and UI/UX design end-to-end.
I care about connecting new technology to real problems. My research showed that quantum-classical hybrid algorithms can solve optimization problems at scales previously out of reach — and I bring that same mindset to product engineering.
Sony Honda Mobility Inc.
Software Engineer — Mobile App Development Team
Waseda University, M.Eng.
Graduate School of Fundamental Science and Engineering
Waseda University Graduate School
Research on quantum combinatorial optimization algorithms
Quanmatic Inc. — Long-term Intern
Full-stack development: FastAPI · Next.js · AWS · UI/UX
Waseda University, B.Eng.
Department of Computer Science and Communications Engineering
Modeled university course selection as a quantum combinatorial optimization problem for the first time in academic literature. Proposed a hybrid quantum-classical approach applying pVSQA, and successfully solved 500-variable instances on gate-model quantum computers — a scale record in the domain.
Led end-to-end development of an internal tool to manage and clean operational data used for quantum optimization workflows. Designed the UI/UX in Figma, implemented the FastAPI backend, and built the Next.js frontend — all as a solo contributor.
Conceived and built a proof-of-concept web app that lets users interact with a quantum optimization engine in natural language. Connected LLM inference, web search, database retrieval, and the optimization solver via MCP, then validated it internally.
Built a CI/CD pipeline using GitHub Actions and Claude Code that automatically generates implementation code from an issue description and opens a pull request — reducing the feedback loop for routine feature work on SHM's commercial mobile app.
Developed and operated a mobile app and website for campus festival visitors as part of the Riko-ten Planning Committee — also leading UI/UX design, logo design, and branding for the app. In the third year, took on the IT Division Lead role, managing a 30-member cross-year team through requirements definition, onboarding, and release.
My research addresses how quantum computers can solve combinatorial optimization problems that are computationally intractable for classical machines. I formalized personalized course selection as a new NP-hard optimization problem, proposed the first quantum-based model for it, and applied the hybrid quantum-classical algorithm pVSQA to successfully solve instances of up to 500 variables on a gate-model quantum computer — a scale record in the field.
In my master's research, I collaborated with the Quantum Laboratory, Fujitsu Research on large-scale optimization benchmarks using subQUBO decomposition combined with variational quantum algorithms.
3 journal papers / 9 international conferences / 9 domestic conferences
IEEE Author Profile ↗ICCE 2025 Best Session Presentation Award
IEEE International Conference on Consumer Electronics · Jan. 2025
Graduate School Academic Excellence Award
Waseda University — Dept. of Computer Science and Communications Engineering · 2025
IPSJ Design Gaia 2025 Best Poster Award
Information Processing Society of Japan · Dec. 2025
Hybrid Quantum-Classical Framework based on subQUBO and pVSQA
HTML / CSS 
TypeScript 
React / Next.js 
Swift / SwiftUI 
Flutter / Dart 
Kotlin / KMP 
Python / FastAPI 
PostgreSQL 
PHP / WordPress 
Java 
Docker 
Linux 
Google Cloud 
Qiskit 
PyTorch 
Figma / UI&UX 
Git / GitHub 
Jira / Confluence 
C