Yili Luo
Nanjing City, Jiangsu, United States
Summary
🤩
Rockstar🎓
Top SchoolYili Luo is a software engineer with eight years’ experience specializing in spatial data analysis, modeling, and production-grade developer tooling. She has built interactive 2D/3D web mapping applications and optimized spatial algorithms for real estate workflows, and later scaled developer experience at Meta—improving frontend performance, reusable UI components, and distributed data pipelines that accelerated engineering velocity. Comfortable across R, Python, SQL and cloud services, she bridges data science and engineering to deliver both analytics models and robust APIs. Yili also contributes to cloud-native diagnostics for CNCF-backed Fluid, showing an operational focus on Kubernetes-based data systems that complements her modeling background. Her work is notable for combining rigorous statistical modeling from academia with pragmatic developer tooling at large tech firms to drive measurable product and process improvements.
8 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.), Environmental Informatics/Conservation Ecology, Master of Science (M.S.), Environmental Informatics/Conservation Ecology at University of MichiganBachelor of Science (BS), Turf and Turfgrass Management, Bachelor of Science (BS), Turf and Turfgrass Management at Beijing Forestry UniversityBachelor of Science (BS), Agronomy and Crop Science, Bachelor of Science (BS), Agronomy and Crop Science at Michigan State University
English, Chinese
Stackoverflow
131reputation
19kreached
2answers
3questions
Github Skills (16)
debugging10
kubernetes10
bash10
script10
kubernetes-pods10
system-administration9
helm8
big-data7
plsql6
distributed-cache6
dbunit6
oracle-10g6
oracle6
xunit6
integration-testing6
Programming languages (4)
Github contributions (5)
fluid-cloudnative/fluid
Jul 2020 - Mar 2021
Fluid, elastic data abstraction and acceleration for BigData/AI applications in cloud. (Project under CNCF)
Role in this project:
DevOps Engineer
DevOps EngineerContributions:14 reviews, 39 commits, 17 PRs in 8 months
Contributions summary:Yili primarily contributed to the development and improvement of diagnostic scripts for the Fluid project, a cloud-native data abstraction and acceleration system. Their work involved creating and modifying `diagnose-fluid.sh`, a bash script designed to collect information for troubleshooting and debugging the Fluid runtime environment. The user also refined the script's options and overall functionality, enhancing its usability and diagnostic capabilities. This focused effort indicates a strong emphasis on operational aspects and system-level troubleshooting within the context of a Kubernetes-based data management system.
bigdataelasticfluidaccelerationai-applications
iluoeli/alluxio
Apr 2020 - Dec 2021
Alluxio, data orchestration for analytics and machine learning in the cloud
Contributions:85 pushes, 49 branches in 1 year 7 months
analyticsorchestrationdata-sciencebigquerymachine-learning
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