ZPeng
Summary
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SeniorZhiyuan Peng is a Machine Learning Engineer and Ph.D. candidate in Computer Science based in San Jose with eight years of experience building production-grade NLP and search systems that bridge research and business impact. He led the development and deployment of an entity-aware multi-task query understanding model at Walmart that cut GPU usage by 75%, improved P99 latency by 18.6%, and raised GMV by 0.51%, and has published related work at KDD and SIGIR. His background spans e-commerce search, dense retrieval, and reranking across companies like Walmart, ByteDance/TikTok, and Navan, translating LLM and IR research into scalable ML services. Comfortable across the stack—from model research to low-latency productionization—he also has hands-on experience with annotation, inference optimization, and cloud deployment. An uncommon blend of rigorous academic training and measurable product outcomes makes him effective at turning advanced models into live revenue-driving features.
8 years of coding experience
Github Skills (141)
clustering10
hydra10
pytorch-lightning10
project-structure9
ai9
similarity-search9
python9
attention-mechanism9
deep-learning9
crawler9
pytorch9
machine-learning9
artificial-intelligence9
biomedical-named-entity-recognition8
pretrain8
Programming languages (10)
Github contributions (5)
Contributions:29 commits, 26 pushes, 1 branch in 6 days
zhiyuanpeng/zhiyuanpeng.github.io
May 2019 - Nov 2020
BY Blog ->
Contributions:209 pushes, 1 comment, 10 issues in 1 year 6 months
jekyll
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