Daniel Xing is a software engineer with nine years of experience, currently contributing to Starship displays software at SpaceX. He holds a B.S. in Computer Science with a minor in Applied Mathematics from UC Merced and led an NSF-funded research project that produced a BayesConf framework, doubling troubleshooting efficiency with zero false detections. Daniel is proficient in JavaScript/TypeScript, Java, and Python, and has shipped full-stack features and performant frontends—cutting load times and automating data pipelines at Olixus. His research experience includes large-scale AWS/CloudLab testing and containerized, fault-tolerant systems, and he has applied Bayesian inference and lattice-based statistical modeling to real-world configuration risk problems. Based in Arcadia, CA, he blends rigorous academic research with production engineering at the intersection of distributed systems and UI-driven spacecraft software.
10 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, 3.8, Bachelor's degree, Computer Science, 3.8 at University of California, Merced
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