Summary
Keigo Kida is a Tokyo-based software engineer with eight years of hands-on experience building cloud-deployed systems and applied ML pipelines, particularly for satellite imagery and farmland delineation. As the first full-time engineer at Sagri, he designed and shipped an end-to-end platform—from image ingestion and annotation to Mask R-CNN segmentation and a published Python library—while running services on ECS/Fargate and managing infra with Terraform. Proficient in Python, Django REST Framework, Docker, PostgreSQL/PostGIS and familiar with frontend stacks, he also introduced robust tooling like linters and pre-commit hooks to improve code quality. Motivated by space and social impact, he pairs domain curiosity with a pragmatic approach to product specs and deployment, and continues to expand his skills in TypeScript, Node.js, and algorithms.
8 years of coding experience
2 years of employment as a software developer
Computer Science, Computer Science at 42
BA, Business and minor in Information science, BA, Business and minor in Information science at International Christian University
Dropout, Dropout at Keio University
Chinese, Japanese