Aki Ariga

Staff Software Engineer @ Treasure Data

About Aki Ariga

Aki Ariga is a Staff Software Engineer at Treasure Data in Vancouver, BC, Canada, where he has worked since 2021. He has extensive experience in software engineering, machine learning, and user experience design, with previous roles at companies such as LegalOn Technologies, Cloudera, and Toshiba.

Work at Treasure Data

Aki Ariga has been employed at Treasure Data as a Staff Software Engineer since 2021. Based in Vancouver, BC, Canada, he has contributed to various projects, including the design and development of features for a Customer Data Platform. His work includes creating a Unified Customer View and implementing real-time ID stitching functionalities. Prior to his current role, he worked at Treasure Data in Tokyo, Japan, from 2018 to 2021, where he also held the position of Staff Software Engineer.

Education and Expertise

Aki Ariga holds a Master of Engineering (M.Eng.) and a Bachelor of Engineering (B.E.) in Electrical Engineering and Computer Science from Nagoya University. He completed his M.Eng. from 2006 to 2008 and his B.E. from 2002 to 2006. His educational background provides a strong foundation in engineering principles, which he applies in his work in software engineering and machine learning.

Background

Aki Ariga has a diverse professional background in software engineering and technology consulting. He worked as a Consultant at 株式会社LegalOn Technologies in Tokyo, Japan, from 2020 to 2021. Prior to that, he spent five years at Toshiba as a Researcher from 2008 to 2013. His experience also includes roles at Cloudera as a Sales Engineer and COOKPAD Inc. as a Service Development Engineer, where he led the development of a recipe recommendation service utilizing machine learning.

Achievements

Aki Ariga has authored a book on machine learning and MLOps published by O'Reilly. He has also contributed to the design of user experience and requirements understanding for a real-time ID stitching project by creating dummy UI prototypes. Additionally, he has developed dynamic data pipelines using Ruby on Rails and Hive/Trino for automating DynamoDB table configurations. Aki is actively involved in the tech community, hosting several groups focused on Ruby and machine learning.

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