Ryun Song
About Ryun Song
Ryun Song is a Software Engineer at Project Canary, where he develops solutions for real-time carbon emissions monitoring using proprietary environmental sensors. He has a background in Mathematics, Computer Science, and Economics, with experience at Amazon and Connexta.
Work at Project Canary
Ryun Song has been employed as a Software Engineer at Project Canary since 2022. In this role, he utilizes proprietary environmental sensors and hardware to calculate real-time carbon emissions. He is part of a team that leverages high fidelity continuous monitoring technology to assist companies in taking Environmental, Social, and Governance (ESG) action. Additionally, he contributes to the development of Software as a Service (SaaS)-based data analytics solutions focused on environmental performance. His work involves ingesting data from various sources to provide independent, measured emission profiles, including methane.
Education and Expertise
Ryun Song holds a Bachelor of Science degree in Economics from Clemson University, which he completed from 2011 to 2014. He also earned a Bachelor of Science degree in Mathematics and Computer Science from the University of Arizona, studying there from 2015 to 2018. His educational background provides a strong foundation in both technical and analytical skills, which he applies in his current role as a Software Engineer.
Previous Experience
Before joining Project Canary, Ryun Song worked at Amazon as a Software Engineer from 2020 to 2022 in Denver, Colorado. Prior to that, he was employed at Connexta as a Software Engineer from 2018 to 2020, also in Denver. His early career included a position as a Teaching Assistant at the University of Arizona in 2018, where he worked for four months. This diverse experience in software engineering has equipped him with a range of skills applicable to his current role.
Technical Skills and Tools
Ryun Song works with a comprehensive tech stack that includes C#, .NET, EntityFramework, PostgreSQL, React, and TypeScript. He also utilizes various AWS services such as Lambda, Amplify, Elastic Beanstalk, and RDS. His proficiency in these technologies supports his contributions to environmental data analytics and real-time emissions monitoring.