Gang Bai
Architect, Advertising And Content Recommendation
Beijing, China
Summary
👤
Senior🎓
Top SchoolGang Bai is an architect specializing in advertising and content recommendation with 13 years of experience building large-scale, high-throughput ML and distributed systems in Beijing. At Sina he leads a small engineering team that turns hundreds of millions of user signals into revenue- and experience-driving personalization using Spark, Hadoop and custom distributed algorithms. He has a track record of shipping end-to-end recommendation pipelines—real-time user profiling, article processing, and low-latency personalization engines—and has open-sourced implementations for multi-label classification and distributed ADMM. Comfortable at the intersection of research and production, he previously powered search and sponsored-search backends at Yahoo and early search infrastructure at Onebox Tech. Known for patient problem-solving, he combines deep technical craftsmanship in async/multi-threaded, high-throughput systems with practical product impact.
12 years of coding experience
4 years of employment as a software developer
Master's degree, Computer Science (Graphics), Master's degree, Computer Science (Graphics) at Beihang UniversityBachelor of Engineering (B.E.), Computer Science, Bachelor of Engineering (B.E.), Computer Science at Northeastern University (CN)
English, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (53)
python10
machine-learning10
deep-learning10
tensorflow10
neural-network10
data-science9
r9
classifier9
java9
ml9
deep-neural-networks9
parser8
deep-reinforcement-learning8
mojo8
scale8
Programming languages (5)
Github contributions (5)
BaiGang/spark_multiboost
Aug 2014 - Oct 2014
Contributions:71 commits in 2 months
classifieradaboostmachine-learningapachespark
BaiGang/taskgraph
Feb 2015 - May 2015
Contributions:70 pushes, 27 branches, 5 comments in 3 months
golangfault-tolerantfaultdistributed-systemsmicroservices
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