Peipei Wang
Software Engineer at Confluent
United States
Summary
👤
Senior🎓
Top SchoolPeipei Wang is a software engineer with a PhD-level research background and 10 years of experience building reliable systems at the intersection of research and production, currently contributing to Confluent after roles at ByteDance and Facebook. Her work blends systems and data-driven diagnostics—from Hadoop corruption analysis and program diagnosis in academia to automating commit cherry-pick discovery and large-scale research engineering in industry. She has a strong record of applying quantitative methods (performance counters, change-point detection, log/template analysis) to real-world problems and has experience with scalable data processing frameworks like Spark. Based in the United States and originally trained in China, she brings a rare combination of domain curiosity—evidenced by personal interest in plant genomics evolution—and practical engineering that turns research insights into deployable solutions.
9 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at North Carolina State UniversityMaster's degree Computer Science, Master's degree Computer Science at Xi'an Jiaotong University
English, Chinese, Japanese, French
Github Skills (12)
python7
machine-learning7
iterative5
feature-selection4
scikit3
pipeline3
data-science2
ensemble-learning2
scikit-learn2
mlops1
automl1
automated-machine-learning1
Programming languages (3)
Github contributions (5)
ShiuLab/Manuscript_Code
Aug 2020 - Dec 2022
Repository for code used for publications
Contributions:129 commits, 192 pushes in 2 years 5 months
pythonmachine-learningpublications
peipeiwang6/Genomic_prediction_in_Switchgrass
Aug 2019 - May 2022
Contributions:74 pushes, 1 branch in 2 years 9 months
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