John Dimm
About John Dimm
John Dimm is a Staff Engineer with extensive experience in developing Google Chrome Extensions and Amazon Alexa Skills. He possesses a diverse programming skill set and has worked in various engineering roles across multiple companies, showcasing his expertise in software development and data visualization.
Current Role at Gardyn
John Dimm has been serving as a Staff Engineer at Gardyn since 2022. In this role, he contributes to the development of innovative technologies that enhance user experiences. His expertise in creating interactive web applications and voice applications aligns with Gardyn's mission to integrate technology into everyday life.
Professional Experience
John Dimm has held various significant positions throughout his career. He worked as Director of Software Engineering at Websense from 2004 to 2007 and later as Chief Scientist from 2000 to 2004. He also served as Director of Search & Analytics at Veoh Networks from 2007 to 2008. His experience includes a role as Senior Software and Data Engineer at Zuora from 2018 to 2019 and Director of Software Engineering at Systran from 2011 to 2014.
Education and Academic Background
John Dimm studied at the University of Washington, where he earned a Bachelor of Science in Mathematics and a Bachelor of Arts in Philosophy, graduating cum laude. His studies spanned from 1973 to 1976. Prior to that, he attended Reed College for one year in 1972 to 1973.
Technical Skills and Expertise
John Dimm possesses a diverse programming skill set that includes JavaScript, Python, C++, and Perl. His technical expertise extends to data visualization and the development of recommendation systems, showcasing his ability to build algorithms that enhance user personalization. He is also proficient in large-scale data processing, having utilized Map/Reduce with Hadoop and Pig.
Projects and Contributions
Throughout his career, John Dimm has developed Google Chrome Extensions and Amazon Alexa Skills, demonstrating his capability in creating interactive applications. His work with data visualization and recommendation systems highlights his focus on making complex data accessible and enhancing user experiences through personalized technology.