Introducing the ELSOUL Software Development Team
Representative Director and CEO
Favorite language: Ruby, Python, PHP
After graduating from Yokohama City University, joined Rakuten, Inc. Founded ELSOUL, INC in 2012. Based on his experience in the software business from various positions from sales to research and development, the Ruby serverless framework "SOULs" developed to solve problems in the field has been certified as an advanced research and development project (WBSO) by the Dutch government. ..
Representative Director and Vice President
Specialty: front end
Favorite language: TypeScript, Ruby, Dart
Graduated from Yokohama City University. Participated in ELSOUL, INC as a founding member while still in school. Responsible for software product design, development, design and marketing. In front-end development, we are good at creating multi-platform compatible (PC, tablet, smartphone) application with excellent UX by human-centered design.
James Neve Yasui
Chief Technology Officer
Specialty: Machine learning / backend
Favorite language: Python, Go, Scala, Ruby, Java, PHP, C / C ++, Dart, TypeScript
Graduated from Cambridge University. After serving as a team leader at Nyle Inc. as a back-end engineer, he engaged in research and development of recommendation engines as a machine learning engineer at Eureka, Inc., greatly improving the matching rate between users. After that, he got a PhD in machine learning from the University of Bristol, where he was invited while participating in ELSOUL. So far, eight academic papers have been published.
Site Reliability Engineer
Specialty: Cloud infrastructure
Favorite language: Go, Rust, Ruby, TypeScript
Graduated from International Christian University. Infrastructure engineer at Nyle Inc. and Eureka Inc., and site reliability engineer at Ubie, Inc. He has extensive experience in designing, developing, and operating (DevOps) services using the cloud such as Google Cloud Platform, and has been selected as a Google Developers Experts. We are good at building cloud server infrastructure with high reproducibility and reliability.