Xiaotian Shi is a Senior Software Engineer based in New York with 12 years of experience building high-throughput, production-grade backend systems across finance and large-scale consumer platforms. He has driven performance and cost optimizations at Google Cloud Bigtable, saving substantial RAM, and rescued critical low-latency production issues through hands-on debugging and playbook creation. At Google Assistant and YouTube he led cross-team API design and refactors that enabled scalable developer tooling, dynamic personalization, and faster iteration on user-facing features. Now at Talos he applies deep distributed-systems and backend expertise to high-volume trading infrastructure, combining low-latency operational discipline with pragmatic engineering. Known for mentoring peers and owning complex integrations end-to-end, he pairs a Cornell CS foundation with a track record of turning thorny performance problems into repeatable engineering practices.
12 years of coding experience
6 years of employment as a software developer
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Cornell University
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