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Beijing, China
Summary
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SeniorKaixiang Lin is a Senior Applied Scientist at Amazon AGI with nine years of experience building reinforcement learning and foundation-model solutions for production-scale products. He led RLHF efforts for Amazon Titan and Nova models and initiated beta text embedding and multimodal pipelines, bridging research-grade algorithms with deployable ML systems. His Ph.D. work in reinforcement learning, transfer, and collaborative learning underpins a track record that includes revenue-impacting ranking experiments at Google and embodied-AI research at Lab126. Based in Sunnyvale, he blends deep academic grounding with hands-on model engineering and is active online through a research homepage and Google Scholar, signaling continued engagement with the research community.
9 years of coding experienceGithub contributions (5)
silentsharer/serissa
Nov 2017 - Sep 2018
Contributions:56 commits, 40 pushes, 1 branch in 10 months
silentsharer/ioengine
Apr 2019 - Apr 2019
Contributions:47 commits, 13 pushes, 1 branch in 19 days
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