Yu-jung Lo
Software Engineer at Meta
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYu-jung Lo is a software engineer with a decade of experience building and maintaining large-scale infrastructure and deployment systems, currently contributing to Core Systems and the HHVM runtime at Meta in San Francisco. She has a strong backend focus from her time at Pinterest, where she worked on the open-source Teletraan deploy system and improved logging and deployment-agent reliability for production rollouts. Her background in high-performance computing and compiler research (University of Utah and Berkeley Lab) informs an emphasis on performance tuning, resource management, and observability across distributed clusters. She has a proven track record automating complex engineering workflows—from AWS auto-scaling and provisioning to factory and QA automation at HP—and collaborating with national labs on performance modeling. Comfortable straddling research-grade optimization and production engineering, she brings both academic rigor and pragmatic operational experience to system-scale challenges.
10 years of coding experience
7 years of employment as a software developer
The University of UtahBachelor's degree, Electrical Engineering and Computer Science, Bachelor's degree, Electrical Engineering and Computer Science at National Tsing Hua University
Github Skills (3)
logging10
configuration-management10
python10
Programming languages (5)
Github contributions (5)
pinterest/teletraan
Jan 2016 - Aug 2016
Teletraan is Pinterest's deploy system.
Role in this project:
Backend Developer
Backend DeveloperContributions:121 commits, 89 PRs, 101 pushes in 7 months
Contributions summary:Yu-jung primarily focused on improving and fixing the logging mechanisms within the deploy-agent system. They addressed issues related to configuration and logging, modifying files to include optional configuration files and update logging settings. Additionally, the user bumped the deploy-agent version, indicating a focus on maintaining and releasing the system. Their contributions demonstrate an understanding of the backend deploy system and the importance of logging for debugging and monitoring.
dockerpinterest
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