Casey Litton is a versatile software engineer with a decade of experience spanning DevOps, full-stack development, embedded systems, and RF hardware. He led DevOps for the ENCODE Project at Stanford, shepherding releases and cloud infrastructure (AWS, EC2, Ansible) while also building web-based live biology labs and full-stack features primarily in Python. Prior roles include embedded hardware/software programming and hands-on RF receiver work for ALMA, giving him rare cross-disciplinary fluency between low-level electronics and cloud-native software. Based in Mountain View, he combines release engineering and process leadership (Git, code review, CI) with practical scripting and automation to keep complex research systems reproducible and reliable. Casey’s background in physics and experience across academia and industry make him particularly adept at bridging experimental workflows and production-grade software.
9 years of coding experience
10 years of employment as a software developer
B.S. Physics, B.S. Physics at University of Florida
Contributions:44 pushes, 13 branches in 1 year 1 month
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