Zimeng Qiu is a Senior Applied Scientist and tech lead at Amazon AGI with nine years of experience building foundation models and retrieval-augmented systems, currently focused on post-training and multimodal understanding for Amazon Nova. Previously he led multilingual, low-resource retrieval and entity resolution work for Alexa, combining pre-training and fine-tuning of encoders to improve practical NLU performance. Trained at Carnegie Mellon (MS in Computer Engineering) and with industry R&D experience at VMware, he bridges academic rigor with production-grade ML engineering. Known for applying graph methods and domain adaptation techniques early in his career, he brings a pragmatic research-to-deployment mindset to large-scale, multilingual AI systems.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree Electrical Electronics and Communications Engineering, Bachelor's degree Electrical Electronics and Communications Engineering at Wuhan University
Master of Science - MS Computer Engineering, Master of Science - MS Computer Engineering at Carnegie Mellon University
Contributions:9 commits, 7 pushes, 1 branch in 22 days
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