Summary
Pawissakan Chirupphapa is a DevOps Engineer II based in Tokyo with 11 years of experience building cloud-native and edge AI infrastructure. At Woven by Toyota he delivered multi-tenant serverless platforms with KNative, multi-account AWS foundations bridging Kubernetes and on-prem devices, and a Terraform-driven self-service pipeline that cut automation time by 70%. His background blends machine learning on edge devices (face recognition libraries, OpenVINO, Android optimizations) with production-grade CI/CD, observability and autoscaling for AI model serving. He holds graduate-level training from the University of Tokyo in machine learning and cybersecurity and has repeatedly translated research-grade models into robust deployment pipelines. Comfortable across Go, C++, Python and infrastructure tooling, he focuses on integrating IoT and ML to make everyday systems smarter and more autonomous. An often-overlooked strength is his end-to-end perspective—from embedded device inference to multi-account cloud governance—that accelerates safe, scalable AI deployment.
11 years of coding experience
7 years of employment as a software developer
University of Tokyo
High School, Science, 3.84, High School, Science, 3.84 at Satit Prasarnmit Demonstration School
Bachelor of Engineering (B.Eng.), Computer Engineering, 3.80, Bachelor of Engineering (B.Eng.), Computer Engineering, 3.80 at Chulalongkorn University
English, Thai, Japanese