Jiwei Liu
Senior Data Scientist
New Jersey, United States
Summary
👤
Senior🎓
Top SchoolJiwei Liu is a Senior Data Scientist at NVIDIA with 11 years of experience applying GPU-accelerated methods and AutoML to real-world ML problems. With a Ph.D. in Electrical and Computer Engineering from the University of Pittsburgh and a background in GPU architecture and networks-on-chip, he bridges deep systems knowledge with practical machine learning. At NVIDIA he contributes to the RAPIDS cuML library, notably enhancing TargetEncoder with smoothing, fold support, and robust statistics—work that improves production-ready GPU ML pipelines. He also explored malware classification and anomaly detection during research stints with Intel Labs, underscoring a strong security-ML footing. An active Kaggle practitioner, Jiwei continuously experiments with new models and techniques, combining research rigor with hands-on engineering to accelerate end-to-end data science workflows.
11 years of coding experience
1 year of employment as a software developer
Ph.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at University of PittsburghBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Zhejiang University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (9)
data-preprocessing10
cuda10
machine-learning10
machine-learning-algorithms10
cuml10
gpu10
python10
nvidia9
dask8
Programming languages (6)
Github contributions (5)
rapidsai/cuml
Mar 2020 - Sep 2022
cuML - RAPIDS Machine Learning Library
Role in this project:
ML Engineer
ML EngineerContributions:11 reviews, 25 commits, 22 PRs in 2 years 7 months
Contributions summary:Jiwei implemented and refined target encoding techniques within the cuML library. Their contributions included a walkthrough of the target encoding design, modifications to the `TargetEncoder` class involving smoothing, fold index acceptance, and incorporation of variance and median statistics. They also addressed issues related to the `TargetEncoder` with custom indexes and fixed related metrics.
cudacumlnvidiadata-sciencegpu
daxiongshu/cuml
Mar 2020 - Aug 2023
cuML - RAPIDS Machine Learning Library
Contributions:88 PRs, 147 pushes, 67 branches in 3 years 5 months
cumlmachine-learningmachine-learning-libraryrapidslibrary-learning
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.