Shuli Jiang
Applied Scientist at AWS
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolShuli Jiang is an Applied Scientist at AWS and a Ph.D. candidate at Carnegie Mellon’s Robotics Institute with nine years of experience building efficient, trustworthy machine learning systems. Her recent research and industry internships at Google and IBM focused on differentially private recommender systems and LLM security, bridging privacy-preserving algorithms with cloud-scale deployment. Earlier work in anomaly detection and data-quality tooling at Morgan Stanley and Presenso gives her practical expertise in monitoring and visualizing model and data behavior. At CMU she combines robotics-level rigor with systems engineering to design algorithms that are both efficient and auditable. Her public portfolio traces a clear evolution from anomaly visualization to privacy-aware ML, emphasizing reproducible, production-ready research.
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 (9)
database-access9
database8
dbt8
mysql8
dbms7
terminology6
perl56
maintenance4
triggers3
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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