Casey Litton

Software Engineer at Self

Mountain View, California, United States
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Summary

👤
Senior
🎓
Top School
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.
code9 years of coding experience
job10 years of employment as a software developer
bookB.S. Physics, B.S. Physics at University of Florida
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Github Skills (36)

metadata10
temp10
sql10
encode10
database10
relational9
lms9
edx8
sum6
genome6
hybrid5
qualtrics5
bioinformatics5
pdf4
certificate4

Programming languages (6)

CSSShellJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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caseylitton/edx-platform

Jun 2016 - Sep 2017

Contributions:1 PR, 58 pushes, 196 branches in 1 year 3 months
management-systemlearning-management-systemreactauthoring-tooledx
Contributions:44 pushes, 13 branches in 1 year 1 month
stanfordpdfcertificatesgenerate-pdf
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Casey Litton - Software Engineer at Self