Nancy Jiang
Consultant at Aurora Labs
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolNancy Jiang is a consultant and seasoned software engineer with nine years of experience building machine learning and infrastructure systems across startups and tech giants in the San Francisco Bay Area. She has applied deep learning to perception problems at Embark Trucks, supported ML infrastructure at LinkedIn, and held cross-functional leadership roles including Chief of Staff at Plume and current consulting work at Aurora Labs. Comfortable shifting between hands-on engineering and strategic program work, she brings practical production experience integrating models into real-world systems. A University of British Columbia computer engineering graduate, she blends hardware-aware engineering instincts with cloud-native ML practices. An understated detail: her career includes multiple internships at Microsoft, Google, and LinkedIn, reflecting early exposure to large-scale product development.
9 years of coding experience
3 years of employment as a software developer
Bachelor of Applied Science (BASc) Computer Engineering, Bachelor of Applied Science (BASc) Computer Engineering at The University of British Columbia
English, Chinese, French
Github Skills (11)
react2
java2
client-server2
firebase2
server2
dart1
ios1
cross-platform1
android1
mobile1
flutter1
Programming languages (1)
Github contributions (5)
jnancy/ProjectEuler
May 2017 - Sep 2017
Contributions:92 pushes, 1 branch in 4 months
jnancy/LeetCode
Jul 2017 - Aug 2018
Contributions:15 pushes, 1 branch in 1 year 1 month
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