Wendy Kan

Machine Learning Engineer at Google

San Francisco, California, United States
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Summary

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Wendy Kan is a Machine Learning Engineer with 14 years of experience applying data science and software engineering to high-impact problems, currently fighting abuse at Google using ML. She has deep experience building production ML systems across ads quality, multi-modal models, and scalable data infrastructure from her time leading data analytics at Kaggle. Her background spans biomedical and research software—from microscopy and neuro-experiment pipelines to biotech web apps—bringing rigorous experimentation and domain sensitivity to applied ML. Wendy combines hands-on engineering (Python, BigQuery, Airflow, cloud orchestration) with a track record of designing evaluation and metric systems that enable fair, reproducible model comparisons. Based in San Francisco, she pairs a PhD in Biomedical Engineering with cross-disciplinary product experience, often turning messy scientific data into deployable predictive solutions.
code14 years of coding experience
job11 years of employment as a software developer
bookPh.D., Biomedical Engineering, Ph.D., Biomedical Engineering at The University of Texas at Austin
bookBS, Electrical Engineering, BS, Electrical Engineering at National Tsing Hua University
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Stats
1reputation
0reached
2answers
0questions
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Github Skills (77)

python10
word2vec10
youtube10
sentiment-analysis10
kaggle10
sentiment10
docker10
docker-image10
machine-learning10
scheduler9
google-cloud-run9
nlp9
gcp9
google-cloud9
automation9

Programming languages (4)

C++HTMLJupyter NotebookPython

Github contributions (5)

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wendykan/AWSGPU_DeepLearning

Dec 2014 - Apr 2015

Contributions:30 commits, 1 PR, 24 pushes in 3 months
keypointsgpufacialawsfacial-keypoints
wendykan/techparent

Sep 2018 - Feb 2022

Contributions:72 pushes, 1 branch in 3 years 5 months
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Wendy Kan - Machine Learning Engineer at Google