Shuli Jiang
Applied Scientist at AWS
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolShuli Jiang is an applied scientist and Ph.D. candidate in Robotics at Carnegie Mellon University with nine years of experience building machine learning systems for large-scale data problems. She has blended research and industry roles at AWS, Google, IBM, and Morgan Stanley, focusing recently on differentially private learning for recommender and ads models and on LLM security. Her work spans end-to-end ML—from anomaly detection and imitation learning in simulation to privacy-preserving algorithm design—demonstrating both systems and theoretical fluency. Mentored by leading researchers at Google and IBM, she repeatedly translates academic ideas into practical experiments and production-minded implementations. Based in Pittsburgh, she brings deep CMU training across BS, MS, and PhD programs and a knack for improving privacy-utility tradeoffs that isn’t obvious from job titles alone.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Carnegie Mellon University
English, Chinese, shanghai dialect
Github Skills (7)
database-access9
database8
dbt8
mysql8
dbms7
terminology6
maintenance4
Programming languages (1)
Github contributions (5)
11hifish/11hifish.github.io
Jan 2018 - Feb 2025
Contributions:40 pushes, 1 branch in 7 years 1 month
11hifish/18240lab2b
Sep 2016 - Oct 2016
Contributions:121 pushes, 1 branch in 14 days
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