Sophie Yue
Software Engineer at Amazon Web Services (AWS)
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolSophie Yue is a software engineer with eight years of experience building large-scale ML infrastructure, currently contributing to Amazon SageMaker at AWS. She blends strong data engineering foundations—ETL, Kafka streaming, Kubernetes—with production ML service development, having progressed from SDE intern to full-time engineer on SageMaker. Her background spans environmental modeling and project management, reflecting a rare mix of scientific rigor and end-to-end delivery skills. Sophie has practical experience deploying containerized streaming pipelines and automating data flows for analytics and mobile backends. Based in the San Francisco Bay Area, she pairs advanced academic training in environmental science and management information systems with hands-on cloud engineering. Notably, she moved from field-focused environmental modeling to shipping cloud-native ML infrastructure, demonstrating adaptability across domains and scales.
8 years of coding experience
7 years of employment as a software developer
Data Analyst Nanodegree, Data Science, Data Analyst Nanodegree, Data Science at UdacityBachelor of Science (B.Sc.), Chemistry, 3.8 / 4.0, Bachelor of Science (B.Sc.), Chemistry, 3.8 / 4.0 at China Agricultural UniversityMaster of Science (M.Sc.), Applied Environmental Science (AEG), 3.9 / 4.0, Master of Science (M.Sc.), Applied Environmental Science (AEG), 3.9 / 4.0 at University of TuebingenMaster of Science - MS, Managment of Information System, Master of Science - MS, Managment of Information System at Santa Clara University Leavey School of Business
Chinese, English, German
Github Skills (26)
debugging10
machine-learning-models10
jupyter10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
deep-learning10
aws10
jupyter-notebook10
amazon10
data-science9
python9
mlops9
Programming languages (4)
Github contributions (5)
sophiayue1116/sagemaker-debugger
Jan 2021 - Jan 2021
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
Contributions:2 PRs, 21 pushes, 1 branch in 23 days
sagemakeramazon-sagemakerdeep-learningamazonmachine-learning
sophiayue1116/amazon-sagemaker-examples
Nov 2021 - Nov 2021
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Contributions:7 pushes, 3 branches in 16 days
sagemakerpythonamazon-sagemakermachine-learning-deploydata-science
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