Mingshi Liu
Machine Learning Engineer II at Amazon
Kirkland, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolMingshi Liu is a Machine Learning Engineer II at Amazon with three years of hands-on experience building data-driven solutions for large-scale industrial problems. Earlier roles at Kalibri Labs and in Amazon’s Global Engineering Services sharpened his expertise in ETL, data modeling, anomaly detection, and production data pipelines handling hundreds of millions of records. He contributes to the OpenSearch project and applies ML to search and analytics use cases within AWS OpenSearch, blending research-minded experimentation with production-grade engineering. His academic path spans tourism, exhibition economics, design thinking, and a master’s in computer and information technology, reflecting an uncommon mix of domain insight and technical depth. Colleagues rely on him for pragmatic data heuristics and automated monitoring that reduce manual triage and improve data integrity. Based in Kirkland, WA, he combines hospitality-industry data experience with cloud-scale ML systems to turn complex datasets into actionable, scalable products.
3 years of coding experience
4 years of employment as a software developer
Master's degree, Computer and Information Technology, Master's degree, Computer and Information Technology at University of PennsylvaniaBachelor's degree, Exhibition Economics, Bachelor's degree, Exhibition Economics at Guangdong University of TechnologyMaster's degree, Tourism Administration, Master's degree, Tourism Administration at The George Washington UniversityCertification of Design Thinking, Business Data Analytics, Certification of Design Thinking, Business Data Analytics at University of Virginia
Chinese, Chinese, English
Github Skills (43)
meilisearch10
search-engine10
opensearch10
commons10
dashboard10
relevance10
machine-learning10
machine-learning-algorithms10
opensearch-dashboards10
analytics10
java10
linear-regression10
restful10
regression10
indices10
Programming languages (4)
Github contributions (5)
mingshl/mingshl-dashboards-search-relevance-2.5release
Jan 2023 - Jul 2023
Tools to help search relevance engineers and business users tune search results for their OpenSearch applications.
Contributions:4 PRs, 131 pushes, 19 branches in 6 months
tunesearch-engineopensearchrelevancesearch
mingshl/ml-commons
Dec 2023 - Apr 2025
ml-commons provides a set of common machine learning algorithms, e.g. k-means, or linear regression, to help developers build ML related features within OpenSearch.
Contributions:210 pushes, 64 branches in 1 year 3 months
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