I am Yirui Zhang, a Computer Science MSc candidate at ETH Zurich specializing in Data Systems & Artificial Intelligence. I design auditable, production-minded ML and data systems end-to-end, covering data contracts, testing, and reproducible evaluation to benchmarking and optimization (Kubernetes, CI, AVX-512).
Recent work includes WiNN/WiNN-beta drift correction (ranked #1 across multiple drift severities), 1.6–2.0× speedups for Clifford neural kernels, SLO-aware scheduling on Kubernetes, and RoBERTa-based out-of-domain NLI generalization studies. I enjoy building scalable pipelines, reproducible research, and collaborating across data science and systems teams.
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