I primarily work with Python and AI technologies in hobby/production environments. I also build web applications using Node.js (especially React, Next.js, and TypeScript), and actively explore Golang and Rust to deepen my understanding of performance-oriented and system-level programming.
I have a strong interest in cloud infrastructure and DevOps.
In personal projects, I work hands-on across AWS, GCP, and Azure — comparing their managed services, IAM models, and developer ergonomics, especially for AI/ML workloads.
At work, I primarily use Azure, though I’m not on the infrastructure team, so my involvement stops short of architecture/design responsibilities.
- Finalist at the Google Cloud Japan AI Hackathon Vol.4 (Agentic AI) — submitted
visionfy-demo, an agentic AI application built on Google Cloud. The submission was made on 2026-02-15, so the source code as of that date represents the submitted deliverable.
I publish technical articles on Zenn, covering AI, cloud, and software engineering topics. The source documents are managed as Markdown in fdshg693/ZENN.
I’m highly passionate about personal development projects, where I enjoy taking ideas from concept to implementation and continuously improving them through iteration.
I’m very open to collaboration — whether it’s open-source contributions, side projects, or building products together. I value learning through collaboration and enjoy exchanging ideas with engineers from different backgrounds.