Owen Riley
About Owen Riley
Owen Riley is a Lead UI Engineer at DeepSee.ai, where he leads front-end teams and architects scalable UI applications. He has a background in Information Technology with degrees from Brigham Young University and extensive experience in web development across various companies, including Apple and Lucid Software Inc.
Work at DeepSee.ai
Owen Riley serves as the Lead UI Engineer at DeepSee.ai, a position he has held since 2020. In this role, he leads front-end teams, ensuring the implementation of best practices in web development. He is responsible for architecting UI applications, focusing on creating scalable and efficient solutions. Additionally, he configures CI/CD pipelines to enhance the rapid delivery of applications. His work emphasizes self-documenting programming practices and includes performing root cause analysis while implementing automated tests to prevent recurring issues.
Previous Experience
Prior to joining DeepSee.ai, Owen Riley accumulated diverse experience in the tech industry. He worked at Lucid Software Inc. in various roles, including Senior Front-End Engineer II and Senior Web Developer, from 2017 to 2020. He also held positions at Apple as a Software Engineer from 2014 to 2017 and as an IT Governance and Planning Intern in 2013. Earlier in his career, he worked as a Research Assistant at Brigham Young University from 2012 to 2014 and as a Business Intelligence Engineer for The Church of Jesus Christ of Latter-day Saints in 2011.
Education and Expertise
Owen Riley studied at Brigham Young University, where he earned a Master of Science (MS) in Information Technology from 2012 to 2014. He also holds a Bachelor of Science (BS) in Information Technology, which he completed from 2006 to 2012. His educational background has equipped him with a strong foundation in technology, which he applies in his current role and previous positions.
Technical Skills and Practices
Owen Riley emphasizes the importance of self-documenting programming practices to maintain code clarity over time. He utilizes BEM-inspired CSS/SCSS and CSS-in-JS solutions like Emotion in his web development projects. His technical skills include performing root cause analysis and implementing automated tests, which contribute to the reliability and efficiency of web applications.