Carson Moore
About Carson Moore
Carson Moore is a Software Engineering Intern at National Instruments in Austin, Texas, with a background in computer science from The University of Texas at Austin.
Current Role at National Instruments
Carson Moore is currently working as a Software Engineering Intern at National Instruments in the Austin, Texas area. In this role, he has been developing a web application that enables users to build panels based on systems data in the cloud. This application supports measurement, testing, and analysis functionalities and is part of a larger suite of cloud systems management software scheduled for release in 2018. His focus has been primarily on front-end development, utilizing technologies like JavaScript, jQuery, HTML, and CSS3.
Previous Experience at JFL Capital Management
In 2016, Carson Moore worked as a part-time programmer at JFL Capital Management for a two-month period in Lakeway, Texas. Although his tenure was brief, the experience added valuable programming skills to his growing repertoire.
Peer Mentor Experience at The University of Texas at Austin
Carson Moore served as a Peer Mentor at The University of Texas at Austin in 2016 for a duration of four months. During this period, he provided guidance and support to fellow students, leveraging his knowledge and experience to help them navigate their academic challenges and opportunities.
Student Technician Role at Applied Research Laboratories
From 2014 to 2016, Carson Moore worked for two years as a Student Technician at Applied Research Laboratories, The University of Texas at Austin. This role involved supporting various technical projects and gaining hands-on experience in a research-driven environment. His work provided him with a strong foundation in both technical skills and project management.
Education in Computer Science
Carson Moore studied at The University of Texas at Austin, where he pursued a Bachelor of Science degree in Computer Science from 2014 to 2017. During his time at the university, he developed a robust understanding of computer science fundamentals and applied this knowledge to various academic and professional projects.