Xin He is a Senior Software Engineer with nine years of experience building large-scale distributed systems and cloud infrastructure, currently optimizing ML inference performance and serving LLMs on Google Cloud GPUs/TPUs. Previously he led HyperDisk development for high-performance block storage and contributed to Persistent Disks at Google, after multi-year roles at AWS and Amazon where he worked on cloud storage and abuse-prevention systems. Trained at Carnegie Mellon (MS in Computer Science) with a background in ASR, NLP, and deep learning, he pairs systems-level engineering in C++/Java/Python with practical DevOps skills in Docker, Kubernetes, and cloudstack. He is comfortable owning low-level performance work and end-to-end distributed services, and has a track record of shipping infrastructure that scales for demanding ML and storage workloads. Based in Kirkland, WA, he brings a research-informed perspective to production problems and a demonstrated ability to translate academic expertise in language technologies into high-performance cloud systems.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree, Computer Software Engineering, Bachelor’s Degree, Computer Software Engineering at Sun Yat-Sen University
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Carnegie Mellon University
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