Guangtong Bai
Software Engineer at Pinterest
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGuangtong Bai is a software engineer with 11 years of experience specializing in distributed systems and large-scale machine learning infrastructure, currently building Ads ML infra at Pinterest in San Francisco. He led design and performance work on Twitter’s Ads ML Feature Store, online hydration, and a high-throughput model inference server, cutting feature onboarding time 3x and reducing p99 online latency from 15ms to 1ms. Comfortable across the ML stack, he has shipped offline BigQuery training pipelines, Manhattan-backed online stores, and a minimalist TF/PyTorch inference server that doubled per-core throughput. A top-ranked CS graduate with an MS from UW–Madison, he combines deep systems engineering with practical ML optimization—evidenced by contributions that sped distributed training and saved multimillion-dollar infra costs.
11 years of coding experience
4 years of employment as a software developer
Exchange Student, Computer Science, Exchange Student, Computer Science at National University of SingaporeMaster of Science - MS, Computer Sciences, GPA: 3.95/4.0, Master of Science - MS, Computer Sciences, GPA: 3.95/4.0 at University of Wisconsin-MadisonBachelor of Engineering - BE, Computer Science, GPA: 93.45/100, Ranking: 1/200, Bachelor of Engineering - BE, Computer Science, GPA: 93.45/100, Ranking: 1/200 at Harbin Institute of TechnologyC9 Summer School, Computer Science, C9 Summer School, Computer Science at Zhejiang University
Github Skills (24)
distributed-systems9
baidu9
serverless9
serverless-architectures9
microservices9
keras8
keras-tensorflow8
spark7
mpi7
machine-learning7
ray7
deep-learning6
tensorflow6
mxnet6
pytorch6
Programming languages (4)
Github contributions (5)
open-lambda/s19-lambda
Mar 2019 - May 2019
Contributions:51 commits, 38 pushes, 5 branches in 2 months
gtbai/dotfiles
Jan 2018 - Jun 2019
Contributions:29 commits, 49 pushes, 1 branch in 1 year 5 months
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