Mavis Liu
Machine Learning Engineer at Apple
United States
Summary
🤩
Rockstar🎓
Top SchoolMavis Liu is a Machine Learning Engineer with eight years of software engineering experience, currently building ML solutions at Apple. She brings a strong academic foundation from the University of Waterloo with both a CS/Statistics double major and a master's in Computer Science, graduating with top grades. Her background spans applied roles across finance, hardware, and mobile—at Scotiabank, Intel, Square, Bloomberg, and research in NLP—giving her practical breadth in production systems and language technologies. Mavis combines research-oriented rigor with product-minded engineering, moving models from prototypes toward scalable deployment. Colleagues would note her rare mix of statistical depth and hands-on iOS/embedded experience, which helps bridge model development and real-world integration. She is U.S.-based and focused on impactful ML work that connects research insights to user-facing products.
7 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Computer Science and Statistics Double Major, 88.7%, Bachelor’s Degree, Computer Science and Statistics Double Major, 88.7% at University of Waterloo
English, Chinese
Github Skills (27)
lucene10
sparse10
retrieval10
record-linkage10
information-retrieval10
similarity10
java10
representations10
cosine-similarity10
keyword-spotting9
python9
keyword9
unstructured7
deep-learning6
pytorch6
Programming languages (3)
Github contributions (5)
x389liu/anserini
Sep 2019 - Dec 2020
A Lucene toolkit for replicable information retrieval research
Contributions:2 PRs, 53 pushes, 8 branches in 1 year 2 months
solrretrievalluceneinformation-retrieval
x389liu/pyserini
Jun 2020 - Feb 2021
Python interface to the Anserini IR toolkit built on Lucene
Contributions:27 pushes in 7 months
python-interfacepythonlucene
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