Elizabeth Li
Software Engineer at Scale AI
New York, New York, United States
Summary
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Senior🎓
Top SchoolElizabeth Li is a Software Engineer bridging hardware-conscious EECS training with practical software systems across AI and autonomous domains. A UC Berkeley EECS graduate, she has been applying systems-level thinking at Covariant since 2020 and Scale AI since 2024, building robust software for AI and data workflows. Her prior internships span NVIDIA, NIO, and research labs, where she designed Docker-based build and test pipelines, implemented diagnostic frameworks, and led embedded firmware work in automotive and robotics contexts. Earlier she led the electrical team at CalSol, mentoring 15+ students in solar car development, circuit design, and embedded programming. Based in New York, she blends math, books, and a love of the outdoors into a practical engineering mindset, with eight years of industry experience. She is known for turning complex requirements into scalable, maintainable software systems and for hands-on leadership across cross-disciplinary teams.
8 years of coding experience
1 year of employment as a software developer
Electrical Engineering and Computer Scinece, Electrical Engineering and Computer Scinece at University of California, BerkeleyGithub contributions (5)
elizabethyli/sign_detecting
Feb 2018 - Mar 2018
Contributions:3 pushes, 1 branch in 27 days
rayyuan/ProgramDependencyBot
Nov 2018 - Nov 2018
Contributions:19 pushes, 1 branch in 1 day
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