Leyang Xue

City of Edinburgh, Scotland, United Kingdom

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Summary

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Senior

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Top School

Leyang Xue is a PhD candidate at the University of Edinburgh, specializing in edge computing and machine learning systems, with a strong focus on distributed file systems and operating system interfaces. He is proficient in C, C++, Python, and Shell, and brings hands-on backend and systems programming experience across academic and industrial settings. His industry experience includes Microsoft and Huawei research roles, plus backend work at UCloud, where he built I/O benchmarks and reduced file data block indexing latency from 50ms to 2ms in a distributed system. He holds a Master of Science in Data Science from the University of Illinois at Urbana-Champaign with a 3.95/4.0, and a BE in Electronic and Computer Engineering from Shanghai Jiao Tong University, alongside a minor in Language Interpretation and Translation. An interdisciplinary thinker with a track record of turning theoretical insights into production-ready systems, he is based in Edinburgh and active in bridging research with scalable, real-world distributed computing.

10 years of coding experience

2 years of employment as a software developer

Doctorate Degree, Edge Computing and Machine Learning System, Doctorate Degree, Edge Computing and Machine Learning System at The University of Edinburgh

Bachelor of Engineering - BE, Electronic and Computer Engineering, Bachelor of Engineering - BE, Electronic and Computer Engineering at UM-SJTU Joint Institute, Shanghai Jiao Tong University

University of Illinois Urbana-Champaign

Language Interpretation and Translation, Minor, Language Interpretation and Translation, Minor at Shanghai Jiao Tong University

Chinese, English

Github Skills (65)

transformers10

language-model10

python10

deep-learning10

transformer10

nlp10

jax10

tensorflow10

natural-language-processing10

pytorch10

machine-learning10

language-models10

huggingface-transformers10

bert10

speech-recognition10

Programming languages (2)

C++Python

Github contributions (5)

EfficientMoE/MoE-Infinity

Jan 2024 - Mar 2025

PyTorch library for cost-effective, fast and easy serving of MoE models.

Contributions:17 reviews, 27 PRs, 89 pushes in 1 year 2 months

huggingfaceinference-enginelarge-language-modelsllm-inferencemixture-of-experts

drunkcoding/time-series-research

Jan 2017 - Feb 2020

Contributions:8 PRs, 68 pushes, 9 branches in 3 years 1 month

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