Kangsan Lee is a seasoned software engineer with 12 years of experience building scalable search and web platform solutions across Amazon, AWS, Microsoft, Citrix, and Samsung. At Amazon he optimized Solr indexing to save $9,500 monthly and improved search relevancy, and at AWS he decoupled legacy relevancy logic and expanded Marketplace Search across regions using OpenSearch. He combines backend search and indexing expertise with hands-on front-end work, having shipped UX features and SPA architectures throughout his career. Kangsan’s background spans C++, Java, Spring, WebRTC, and cloud-native deployments, plus machine-learning driven research from his USC work, reflecting a rare full-stack fluency in both performance and relevance engineering. Based in Seoul, he brings a pragmatic engineering aesthetic—“follow the beauty of engineering”—that balances cost-conscious systems thinking with product-facing user experience.
Contributions:1 PR, 8 pushes, 1 branch in 2 years 5 months
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