Rihito Bannai is a software engineer with five years of hands-on experience building scalable, cloud-native systems and ML infrastructure across startups and large media platforms. After transferring from law to Keio University, he completed long-term internships at over ten companies, delivering high-impact optimizations such as shaving tens of TiBs from memory during ABEMA traffic spikes and clusterizing DMM’s encoding system. He has built GPU job orchestration on GKE, authored an OSS scheduler evaluation tool at Preferred Networks, and will present at KubeCon Japan, demonstrating a blend of research-grade engineering and production pragmatism. Rihito also has SRE and project-lead experience—leading teams to launch products, designing Terraform/GCP infrastructures, and improving observability for enterprise AI services. Based in Suginami, Japan, he combines deep systems skills with cross-cultural team leadership and a knack for turning performance mysteries into reliable, cost-efficient services.
4 years of coding experience
3 years of employment as a software developer
Rangitoto College
栄東高等学校
Master, Cyber Informatics, Master, Cyber Informatics at Keio University
Contributions:2 releases, 39 reviews, 16 PRs in 5 months
ccomputer-scienceosrisc-vriscv
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Rihito Bannai - Software Engineer at Suzuca Technologies