Software Engineer
I graduated in 2023 from Nagoya University G30 International Programs, where I majored in Automotive Engineering (with specialization in Mechanical Engineering focus).
I am currently a software engineer at Woven by Toyota. As a member of Vertex team under Woven by Toyota's Arene Tools Engineering, I specialize in driving the automation of software validation within complex, distributed automotive environments. By implementing automation and promoting a “shift-left” approach in software development, I contribute to enhancing quality, accelerating development cycles, and ensuring seamless integration of distributed automotive systems.
I have 3 years of experience in Python development, specializing in various libraries such as Pytest for testing and OpenCV for advanced image processing tasks. Additionally, I have picked up Golang, particularly for REST API development using the Gin framework, where I focus on creating high-performance, maintainable applications.
I have extensive experience in software testing, specializing in Test-Driven Development (TDD) and Behavior-Driven Development (BDD) methodologies. I work effectively with tools like Pytest and Behave to create robust, automated testing suites that ensure high-quality software delivery in complex, distributed environments.
As an engineer, I place great value in intelligent and logical approaches when solving problems. By thoroughly analyzing the problem space, identifying potential edge cases, and leveraging data-driven insights, I ensure that the solutions I develop are both and scalable.
Woven by Toyota | Full-time (October 2023 - PRESENT)
Developed backend HTTP API service on K8s deployement, using OpenAPI for specifications
Spearheaded the design and implementation of observability via Prometheus monitored on Wavefront UI
Implemented automated nightly load testing for API service using Locust and Github Actions
Worked closely with members from North America team to provide system testing solutions for Toyota
Nagoya University, Fujii Lab (藤井研究室) | Student Internship (April 2022 - September 2023)
Applied orthogonal NeRF to estimate 3D scene shape from as little as 25 images
Implemented Open3D library to generate point‑clouds
Collaborated with members of Tokyo University of Agriculture & Technology to implement technology in holography applications
Woven Planet | Internship (September 2022 - December 2022)
Developed a latency monitoring service that provided real‑time node insights to improve visibility for network engineers
Deployed the latency-monitoring agent in virtual network using Nomad and Docker