Jay Qi
Principal Data Scientist & Director Of Engineering
Washington, District of Columbia, United States
Summary
🤩
Rockstar🎓
Top SchoolJay Qi is a Principal Data Scientist and engineering leader with 11 years of experience applying machine learning and software engineering to mission-driven problems across industry and research. He has led teams building condition-monitoring and failure-prediction systems for heavy equipment and locomotives, scaled ML deployments in production, and now directs engineering at DrivenData where he focuses on climate, health, education, and disaster-recovery use cases. Trained as a mechanical and aerospace engineer (Princeton, Caltech) and an NSF fellow, he combines rigorous numerical simulation and control expertise with practical data-science tooling and pipelines. Notably, his background includes hands-on robotics and rover-drill design at JPL and core contributions to open-source tools for data science workflows, reflecting a rare blend of physical-systems intuition and production ML experience.
11 years of coding experience
12 years of employment as a software developer
Fellow, Data Science, Fellow, Data Science at The Data IncubatorCalifornia Institute of TechnologyB.S.E. with highest honors, Mechanical and Aerospace Engineering, B.S.E. with highest honors, Mechanical and Aerospace Engineering at Princeton University
English, Chinese, French, chinese (shanghainese)
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (200)
ecology10
json-schema10
dependency-analysis10
visual-studio10
cpd10
project-structure10
kafka-consumer10
shutdown10
data-science10
python-poetry10
apache10
docstrings10
jupyterlab-extension10
amazon10
data-sharing10
Programming languages (18)
Github contributions (5)
conda-forge/erdantic-feedstock
Feb 2021 - Jan 2025
A conda-smithy repository for erdantic.
Contributions:1 review, 15 PRs, 14 pushes in 3 years 11 months
condasmithy
jayqi/jayqi.com-homepage
Mar 2016 - Oct 2021
Contributions:8 pushes, 3 branches in 5 years 7 months
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