Yosuke Mizuno is a versatile software engineer with 14 years of experience, currently building production LLM and AI-OCR systems at pluszero Inc. He blends research-grade math training from the University of Tokyo with hands-on engineering—shipping Python-based LLM/Whisper integrations, internal SDKs, and AWS Lambda-based APIs while also contributing full-stack fixes to popular open-source Hugo themes. His background includes machine learning work with DNNs and BERT, NLP projects for Japanese text (including recruitment ad revision and proofreading tools), and a stint modernizing government pension code by porting 17K LOC from Fortran90 to C++11. Comfortable across Python, TypeScript, C++ and DevOps tooling, he pairs product-minded PM experience with low-level implementation skills (pybind11, AWS CDK). Notably, he studies Rust and Lean4, signaling a continual drive to learn new systems and formal tools beyond his production focus.
14 years of coding experience
University of Tokyo
M2, Algebraic Geometry, M2, Algebraic Geometry at Graduate School of Mathematical Sciences, The University of Tokyo
The Techdoc is a Hugo Theme for technical documentation.
Role in this project:
Full-stack Developer
Contributions:24 releases, 250 commits, 10 PRs in 4 years 8 months
Contributions summary:Yosuke primarily contributed to the Techdoc Hugo theme by addressing bugs and improving performance. They fixed issues related to back-to-top settings and menu improvements, suggesting frontend development skills. Furthermore, the user made changes to the gulpfile for build optimizations and renamed a partial file, indicating familiarity with project structure and build processes. The contributions involve both frontend and build system aspects, making full-stack the most relevant.
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Yosuke Mizuno - Software Engineer (Fully-Remote) at pluszero Inc.