Ashley Chien
Software Engineer at Google
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolAshley Chien is a software engineer at Google with nine years of experience and dual B.A.s in Computer Science and Statistics from UC Berkeley (3.92 GPA). She blends practical ML research—especially medical imaging and causal inference—with production software skills honed through internships at Airbnb and a medical ML startup. At Berkeley she led and taught multiple CS and data science courses, wrote pedagogy and exam material, and managed course logistics, reflecting a strong talent for communication and mentorship. Her research includes building U-Net segmentation pipelines for CT hemorrhage detection, systems RL for database optimization, and neural interpretability comparisons across models like BERT and GPT-2. Based in Cupertino, she’s passionate about program design, debugging, and applying ML for social good, with a proven track record of moving research prototypes toward real-world impact.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Computer Science and Statistics, 3.92, Bachelor’s Degree, Computer Science and Statistics, 3.92 at University of California, Berkeley4.0, 4.0 at Monta Vista High School
English, Chinese, Spanish
Github Skills (16)
textbook10
jupyter9
modeling9
text-analysis9
inference8
jupyter-notebook8
data-science8
geospatial7
nlp6
machine-learning6
cloud-computing6
natural-language-processing6
data-visualization5
jekyll4
stat3
Programming languages (2)
Github contributions (5)
ds-102/sp20
Jan 2020 - May 2020
UC Berkeley Data 102 Spring 2020 Website & Materials
Contributions:138 commits, 135 pushes in 3 months
data-scienceinferencejupytermodelinguc-berkeley
stat88/content-fa19
Aug 2019 - Dec 2019
Contributions:23 pushes, 1 branch in 3 months
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