Wendy Kan
Machine Learning Engineer at Google
San Francisco, California, United States
Summary
🤩
Rockstar🎓
Top SchoolWendy 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.
14 years of coding experience
11 years of employment as a software developer
Ph.D., Biomedical Engineering, Ph.D., Biomedical Engineering at The University of Texas at AustinBS, Electrical Engineering, BS, Electrical Engineering at National Tsing Hua University
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (47)
kaggle10
word2vec10
youtube10
sentiment-analysis10
python-docker10
data-science9
scheduler9
python9
machine-learning9
google-cloud9
automation9
deep-learning9
orchestration8
mlops8
google-cloud-run8
Programming languages (4)
Github contributions (5)
wendykan/cnn-for-visual-recognition
Jan 2016 - Feb 2017
Contributions:43 commits, 38 pushes, 1 branch in 1 year 1 month
wendykan/DeepLearningMovies
Dec 2014 - Nov 2018
Kaggle's competition for using Google's word2vec package for sentiment analysis
Contributions:5 commits, 3 PRs, 3 pushes in 4 years
kagglesentiment-analysisword2vec
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