Andy Xie
Software Engineer II at Google
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolAndy Xie is a San Francisco–based Software Engineer II with nine years of experience building production-grade distributed systems, real-time analytics platforms, and ML-driven services. He has shipped data querying and storage infrastructure for high-throughput products at Uber and now contributes to scalable systems at Google, drawing on an EngSci background in Machine Intelligence from the University of Toronto. His work spans quantum chemistry tooling and ML research—where he quantified model-dataset compute complexity—demonstrating a blend of practical production engineering and deep research instincts. Comfortable across backend systems, embedded software, and ML pipelines, he favors measurable, production-first solutions that scale. Colleagues find him curious and committed to lifelong learning, often bridging domain research into deployable engineering outcomes.
9 years of coding experience
3 years of employment as a software developer
IB Programme, IB Programme at White Oaks Secondary SchoolBachelor of Applied Science - BASc Engineering Science Major in Machine Intelligence CS, Bachelor of Applied Science - BASc Engineering Science Major in Machine Intelligence CS at University of Toronto
English, Chinese
Github Skills (3)
deep-learning3
machine-learning3
microcontroller1
Programming languages (2)
Github contributions (5)
axie123/LayerVision
Aug 2019 - Jul 2021
LayerVision is a type of Machine Learning UI that I have been working on to allow beginning data scientists, engineers, and researchers to deploy and analyze deep learning models with more ease.
Contributions:102 pushes, 8 branches, 15 issues in 1 year 11 months
deep-learningmachine-learning
axie123/TF-DNA-Interactions-2018Krembil
Jan 2019 - Jun 2020
Contributions:2 PRs, 64 pushes, 5 branches in 1 year 5 months
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