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.

Yirui Zhang

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.

Available to hire

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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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Engineering Intern at Baidu Apollo
February 1, 2023 - May 1, 2023
Contributed to an autonomous driving testing platform across perception and planning modules. Designed automated regression pipelines and reduced manual testing time by ~40%. Implemented and maintained regression test suites in Python/C++ (incl. integration tests for perception & planning), integrated into existing CI pipelines. Increased cross-module test coverage by ~30%; authored integration / system tests and run-books.

Education

M.Sc. in Computer Science at ETH Zurich
September 1, 2023 - June 1, 2026
B.Sc. in Computer Science & Technology at Beijing Normal University
September 1, 2016 - June 1, 2022
M.Sc. in Computer Science at ETH Zurich
September 1, 2023 - June 1, 2026
B.Sc. in Computer Science & Technology at Beijing Normal University
September 1, 2016 - June 1, 2022
Undergraduate Research at Beijing Normal University
July 1, 2022 - November 1, 2022
Adversarial Examples Research at Peking University
March 1, 2021 - May 1, 2021
Deep Mutual Learning with Relation Distillation at Tsinghua University
September 1, 2020 - December 1, 2020
Class Activation Mapping for Region Cropping at Tsinghua University
January 1, 2020 - May 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Computers & Electronics, Professional Services