Jiaxin Cao is a Principal Engineer based in Singapore with a decade of experience optimizing large-scale AI systems, currently working at NVIDIA while also serving as a founding engineer at Lepton AI. He specializes in LLM inference and training optimization and has hands-on experience building distributed inference for Stable Diffusion, bridging research and production-grade deployment. Previously an AI researcher at Alibaba Cloud, he combines deep systems knowledge with practical engineering to squeeze performance from both models and infrastructure. Trained in computer science at the University of Shanghai for Science and Technology, he brings a startup mindset to large-enterprise problems and a knack for turning cutting-edge research into efficient, deployable pipelines. An understated strength is his dual role across industry and startup contexts, enabling rapid prototyping informed by production realities.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at University of Shanghai for Science and Technology
Contributions:1 release, 21 commits, 1 PR in 3 months
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