Koji Kanao
About Koji Kanao
Koji Kanao is a software engineer with a Master's degree in Econometrics from Kobe University and extensive experience in software development and research. He has worked for notable companies such as Ubiquiti Networks and Opentrons Labworks Inc., contributing to various open-source projects and developing applications that integrate machine learning and IoT.
Work at Opentrons
Koji Kanao currently works as a Software Engineer at Opentrons Labworks Inc. since 2022. In this role, he contributes to the development of software solutions that enhance laboratory automation and improve scientific workflows. His experience in software engineering and open-source contributions supports the company's mission to make science accessible and efficient.
Education and Expertise
Koji Kanao holds a Master's degree in Econometrics from Kobe University, which he completed from 2008 to 2010. He also earned a Master's degree from New York University, specializing in Interactive Telecommunications Program (ITP) from 2016 to 2018. Additionally, he obtained a Bachelor's degree in Weather Derivatives and Operations Research from Tokyo University of Science between 2004 and 2008. His academic background provides a strong foundation in quantitative analysis and technology.
Background
Koji Kanao has a diverse professional background in software engineering and research. He began his career as an intern at Mynet Inc. in Tokyo, Japan, from 2006 to 2007. He later worked as a Researcher at the Interactive Telecommunications Program (ITP) in Greater New York City from 2018 to 2019. His experience includes roles at Ubiquiti Networks as a Software Engineer and at Pivotal Advisors as a Corporate System Engineer.
Achievements
Koji Kanao has made significant contributions to several open-source projects on GitHub, demonstrating his proficiency in TypeScript, React, and Python. He co-founded NGEMS, a web application development company recognized by NYC Media Lab's combine 2018 cohort. His work includes developing a web application at Ubiquiti using React.js, TypeScript, and Node.js, as well as creating a generative art application using openFrameworks and Python.
Interests in Technology
Koji Kanao has a keen interest in combining machine learning with IoT and art. He actively seeks opportunities to explore these areas, reflecting his commitment to innovation and creativity in technology. His experience in training machine learning models and building prototypes using Raspberry Pi showcases his dedication to advancing these fields.