Jason Byars
About Jason Byars
Jason Byars is a Senior Software Development Engineer with a background in research and a strong focus on data science. He has held positions at notable organizations including the University of New Mexico, Amazon, and currently Galvanick in Seattle.
Work at Galvanick
Jason Byars has been employed at Galvanick as a Senior Software Development Engineer since 2023. His role involves developing software tools with a focus on data science. Byars contributes to projects that enhance the company's capabilities in software development, leveraging his extensive background in research and software engineering.
Previous Experience at Amazon
Before joining Galvanick, Jason Byars worked at Amazon for a total of six years. He served as a Software Development Engineer II from 2017 to 2021 and then as a Senior Software Development Engineer from 2021 to 2023. During his tenure at Amazon, he was involved in various software development projects that required advanced technical skills and problem-solving abilities.
Background in Research
Jason Byars has a significant background in research, having worked as a Senior Research Specialist at the University of New Mexico from 2010 to 2016 and as a Research Specialist at IUPUI from 2001 to 2010. His research-oriented mindset informs his approach to software development, allowing him to tackle complex problems effectively.
Education and Expertise
Jason Byars earned a Bachelor of Science degree in Electrical and Computer Engineering (ECE) from Purdue University, where he studied from 1996 to 2001. His educational background provides a strong foundation for his work in software development and data science, aligning with his interests in InfoSec and bioinformatics.
Technical Interests
Jason Byars has a keen interest in building software tools for data science, as well as a diverse range of technical interests including information security (InfoSec) and bioinformatics. He values working in collaborative environments that foster mutual knowledge and skill growth among team members.