Weizhi Li
Machine Learning Engineer at Snap Inc.
California, United States
Summary
👤
Senior🎓
Top SchoolWeizhi Li is a Machine Learning Engineer with 11 years of experience building production-scale learning-to-rank and CTR/CVR prediction systems for ads and e-commerce personalization at Snap, JD.com, and other companies. He combines deep learning, large-scale data engineering (Spark, Scala, Python) and practical NLP/semantic search expertise to improve recommendation and search quality. His background includes signal processing and scientific computing for time-series and image data, where he boosted model accuracy significantly and contributed to open-source tooling. Based in California, he bridges research and production—publishing and presenting on graph mining and deep learning—while focusing on robust, scalable modeling and feature engineering that reduce overfitting in real-world pipelines.
11 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at Lanzhou UniversityMaster's degree, Electrical Engineering, Master's degree, Electrical Engineering at Southern Methodist University
Github Skills (58)
graph10
terraform9
hashicorp9
aws9
terraform-module9
infrastructure9
terragrunt8
declarative8
hcl8
infrastructure-as-code8
terraform-cloud8
devops8
spring-mvc7
spring-boot5
osgi5
Programming languages (5)
Github contributions (5)
CodeGerm/EventBus
Sep 2015 - Aug 2018
Simplified messaging programming model with kafka implementation
Contributions:35 commits, 4 PRs, 28 pushes in 2 years 11 months
programming-modelsimplifiedproducermessagingkafka
CodeGerm/Pathogen
Mar 2015 - Mar 2018
Contributions:4 commits, 5 pushes, 1 branch in 3 years
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