Masato Naka is a Site Reliability Engineer based in Tokyo with 10 years of software experience, focused on operating and improving large-scale microservices through SLIs/SLOs, on-call practices, and performance tuning. He transitioned from backend and infrastructure roles—leading cloud migrations, Kubernetes adoption, and CI/CD rollouts—to SRE work, bringing a full-stack operational mindset to reliability engineering. Earlier, he spent two years at ByteDance as an Algorithm Engineer improving personalized recommendation models and has contributed to the popular online-ml/river project by enhancing Factorization Machines and refactoring model internals. Multilingual in Japanese, English, and Chinese (with basic Portuguese and Korean), he leverages language skills to coordinate across global teams and accelerate cross-border projects.
10 years of coding experience
6 years of employment as a software developer
University of Tokyo
Master’s Degree, Master’s Degree at Jilin University
Contributions:4 reviews, 5 commits, 5 PRs in 14 days
Contributions summary:Masato primarily contributed to the `river` repository by implementing and enhancing machine learning models, particularly in the area of Factorization Machines. Their work included adding a "debug_one" method to several FMRegressor variations for detailed output analysis, simplifying calculations, and refactoring code for more efficient interaction computations. The user's contributions also involved fixing typos and improving documentation within the recommender systems example.
Contributions:14 PRs, 13 pushes, 8 branches in 2 years 10 months
golangkubernetes-operatorkubernetes
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