Yang Gu
Software Engineer at Google
Los Angeles, California, United States
Summary
👤
Senior🎓
Top SchoolYang Gu is a seasoned software engineer with 14 years building large-scale ads, retrieval, and recommendation systems, currently applying deep learning and incremental learning at Google. He combines strong research pedigree (PhD/MS from Carnegie Mellon) with production expertise in C++/Python, serving BERT models, feature/label partitioning, and scalable online classifiers. Prior roles include leading data science at Scopely—where he developed game AI, user-purchase modeling, and time-series similarity pipelines—and architecting ad ranking, budget pacing, and CTR prediction systems at CityGrid. His strengths span probabilistic methods, stochastic optimization, and practical ML engineering across TensorFlow, Apache Beam, Hadoop, and cloud data warehouses. Notably, he has repeatedly translated academic techniques (Bayesian networks, PageRank variants, Naive Bayes ensembles) into high-throughput production services. Based in Los Angeles, he blends deep algorithmic insight with hands-on systemization of ML at Internet scale.
14 years of coding experience
5 years of employment as a software developer
MS and BS, Automatic Control Engineering, MS and BS, Automatic Control Engineering at Beijing Institute of TechnologyPh.D. and MS, Computer Science, Ph.D. and MS, Computer Science at Carnegie Mellon University
English, Chinese
Stackoverflow
16,006reputation
916kreached
253answers
15questions
tensorflow
top-5%
neural-network
top-5%
classification
top-1%
algorithm
top-5%
machine-learning
top-1%
scikit-learn
top-5%
Github Skills (25)
python10
data-science10
classification10
machine-learning10
hashmap10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
artificial-intelligence9
algorithm9
datasets9
data-mining9
statistics9
Programming languages (2)
Github contributions (5)
greeness/deep-learning
Jan 2014 - Jan 2014
Contributions:67 commits in 15 days
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