Chendi Cao
Software Engineer at Waymo
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolChendi Cao is a versatile Software Engineer and Machine Learning practitioner with a PhD in Computer Science and eight years of experience building production-grade, large-scale systems across cloud (AWS, GCP) and on-prem environments. She bridges research and engineering — from authoring ML pipelines and automated medical imaging workflows to architecting Java/Spring microservices for fraud detection, traffic protection, and denylist management. At Waymo she standardized evaluation across 850+ tasks and built SQL-driven dataset generation; at Yahoo she migrated legacy workflows to MWAA/Airflow and cut cloud spend through pipeline optimizations. Skilled in Python, Java, C++, Spark/Hadoop, Docker, Terraform, and CI/CD, she excels at turning experimental models into resilient services used company-wide. Notably, her academic projects delivered dramatic runtime improvements (e.g., 24 hours to 1 minute for 3D seed analysis) and production imaging pipelines that shrank training times from days to hours. Based in the NYC area, she’s focused on MLOps, backend engineering, and pragmatic automation that scales.
9 years of coding experience
8 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Kansas State University
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (3)
transfer-learning10
imaging10
convolutional-neural-networks10
Programming languages (1)
Github contributions (5)
BMEII-AI/RadImageNet
Jun 2021 - Oct 2021
RadImageNet, a pre-trained convolutional neural networks trained solely from medical imaging to be used as the basis of transfer learning for medical imaging applications.
Contributions:37 commits, 30 pushes, 2 branches in 4 months
convolutional-neural-networksimagingtransfer-learning
chendicao/cascoKNN
Aug 2018 - May 2022
Contributions:16 pushes, 1 branch in 3 years 9 months
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