Toru Tamagawa is a data and backend engineer with 13 years in the industry and 8+ years focused on LLM, backend, and data engineering across cloud-native systems. He architected high-throughput advertising infrastructure handling 100k+ RPS and built ML demand-forecasting pipelines at Fast Retailing, pairing production-grade scalability with practical latency and memory optimizations. Comfortable across Scala, TypeScript/Node.js, Go, and Python, he designs end-to-end systems on GCP (Dataflow, Cloud Run, Pub/Sub) and automates infra with Terraform and CI/CD. Toru blends hands-on feature development with system architecture—his work spans REST APIs, Dataflow pipelines, and monitoring/observability via DataDog—reflecting a pragmatic focus on operability and continuous improvement. Based in Chiyoda, Japan, he shares technical insights on GitHub and a developer blog, signaling an engineer who communicates design decisions as well as he implements them.
Contributions:6 reviews, 10 PRs, 14 pushes in 2 years 10 months
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