Tianqi Liu
Senior Software Engineer at Roblox
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolTianqi Liu is a Senior Software Engineer based in Sunnyvale with nine years of experience building cloud infrastructure and distributed systems for large-scale products. He spent five years at Google Cloud developing NPI infrastructure like DevCluster, MTest, and BareMetal, and now applies that expertise to platform and service challenges at Roblox. His work spans the full stack of cloud services, from orchestration and monitoring to data preprocessing for ML—he has contributed NLP-focused preprocessing and dataset support to the prominent tensorflow/models repo. Tianqi combines strong academic foundations (MS in Computer Engineering from UC Irvine, 3.9 GPA) with hands-on production experience, frequently tackling the intersection of scalable infrastructure and ML data engineering. A practical problem-solver, he’s as comfortable shipping observability and alerting systems as he is adapting ML pipelines for multilingual datasets.
9 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, 3.9, Master's degree, Computer Engineering, 3.9 at 美国加州大学尔湾分校Bachelor's degree, Computer Engineering, Bachelor's degree, Computer Engineering at 上海交通大学
Github Skills (9)
data-preprocessing10
machine-learning10
nlp10
tensorflow10
python10
data-engineering10
natural-language-processing9
classification9
deep-learning8
Programming languages (2)
Github contributions (5)
tensorflow/models
Apr 2020 - May 2022
Models and examples built with TensorFlow
Role in this project:
ML Engineer
ML EngineerContributions:17 commits in 2 years
Contributions summary:Tianqi's commits primarily involve modifications and additions to files related to natural language processing (NLP) tasks within the TensorFlow Models repository. Their work includes adapting existing code for new datasets like PAWS-X and XTREME-XNLI, adding support for translated data, and making internal changes to data processing and record generation scripts. The commits demonstrate expertise in data preprocessing and feature engineering for various classification tasks, leveraging the TensorFlow ecosystem.
deep-learningtensorflow
google/lifetime_value
Dec 2019 - Nov 2020
Contributions:2 reviews, 5 commits, 6 pushes in 11 months
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