Yanfeng Liu is a Software Engineer III with a decade of experience building production ML and web services, currently contributing to Shopping Ads and pCTR feature engineering at Google in San Jose. He has a strong full-stack background from AWS and prior research in computer vision and instance segmentation, blending deep learning (PyTorch/TensorFlow) with scalable backend systems. His work spans frontend consoles, serverless AWS architectures, and operational excellence—setting up alarms, pipelines, and automated deployments. Notably, he moved from academic research on pixel-embedding segmentation to shipping ad-serving models and vehicle listing logic at scale, demonstrating an ability to turn novel research ideas into production systems. He maintains personal projects on yanfeng.dev and emphasizes reproducible, cloud-native ML workflows.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Electrical Engineering, Master's degree, Electrical Engineering at University of Nebraska-Lincoln
BS, Finance, General, GPA 3.8 (Later transferred to UNL), BS, Finance, General, GPA 3.8 (Later transferred to UNL) at Menlo College
Contributions:43 commits, 20 PRs, 47 pushes in 2 months
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