Jj Xu
Engineer at Broadcom
Los Angeles, California, United States
Summary
🤩
RockstarJj Xu is an engineer based in Los Angeles with six years of hands-on experience building production software at Broadcom and contributing to open-source ML tooling. With a Ph.D. from Penn State and practical work as an ML engineer on the TODS time-series outlier detection project, he has experience implementing subsequence clustering, truncated SVD tweaks, and TRMF-related feature extraction for anomaly detection pipelines. He combines academic rigor with pragmatic engineering to improve core components and tests in complex data systems. Colleagues can expect a developer who bridges research-grade methods and production constraints, particularly in time-series feature engineering and anomaly detection.
6 years of coding experience
Github Skills (7)
scikit-learn10
machine-learning10
time-series10
anomaly-detection10
python10
scikit10
automl9
Programming languages (1)
Github contributions (5)
datamllab/tods
Sep 2020 - Jul 2021
TODS: An Automated Time-series Outlier Detection System
Role in this project:
ML Engineer
ML EngineerContributions:19 commits, 18 pushes, 4 branches in 10 months
Contributions summary:Jj made several commits related to the `SubsequenceClustering` primitive, suggesting involvement in developing or refining time series processing techniques. They modified code related to `SKTruncatedSVD` and `TRMF`, potentially for feature extraction, and also contributed to test implementations. These commits show the user working on core components of the time series anomaly detection system.
outlier-detectiontime-seriesautomlanomaly-detectionmachine-learning
junjie-xu/awesome-geometric-graph-learning
Aug 2023 - Aug 2023
Contributions:23 pushes, 1 branch in 2 days
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.