Xuefei Jiang
Member Of Technical Staff at AMD
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolXuefei Jiang is a Member of Technical Staff based in London with a decade of software engineering experience focused on AI infrastructure and ML/DL model development. She helped build OneFlow’s distributed deep learning framework early as employee #13, contributing core components like computational graph compilation, an actor runtime, auto-parallelism, and CUDA kernels, and reproduced models from object detection to BERT. Her work spans industry and academia—research on NLP/LLMs and recommender systems at University College Dublin and continual hands-on systems engineering at AMD. Known for patience (as her GitHub motto hints), she blends rigorous research-grade thinking with pragmatic system design to ship scalable training infrastructure. Her academic record (top MSc performance) underpins a pattern of translating complex algorithms into production-ready code and patents.
10 years of coding experience
7 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Xidian UniversityMaster of Science - MS, Computer Science, 4.0 / 4.2, Master of Science - MS, Computer Science, 4.0 / 4.2 at University College Dublin
English, Chinese
Github Skills (5)
neural-network10
machine-learning10
deep-learning10
tensorflow10
python10
Programming languages (5)
Github contributions (5)
Oneflow-Inc/oneflow
Jul 2018 - May 2021
OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.
Role in this project:
ML Engineer
ML EngineerContributions:50 reviews, 441 commits, 24 PRs in 2 years 10 months
Contributions summary:Xuefei contributed to the development of machine learning models within the OneFlow framework, as evidenced by the implementation of an accuracy module and testing the integration of pre-trained models. They were involved in creating and testing neural network layers and utilizing the framework's capabilities for building deep learning applications. These contributions involved tasks such as implementing loss and accuracy calculations.
caffe2tensorflowframework-learningchainerdeep-learning-framework
Oneflow-Inc/training_results_v0.7
Mar 2021 - Apr 2024
Training v0.7 results
Contributions:2 PRs, 25 pushes, 3 branches in 3 years 1 month
training
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