Zhen Xu
Founding Engineer at Apple
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolZhen Xu is a Founding Engineer and machine learning researcher with a decade of experience building production ML systems and research-driven solutions for healthcare and consumer products. He holds a Ph.D. in Computer Science and has applied advanced sequence and multimodal modeling to Electronic Health Records at Google Brain/Google Health, translating research into timely, personalized clinical predictions. At Apple he focused on large-scale search ranking, LLM post-training (SFT, RLHF), RAG and agentic search to improve Apple Intelligence, and he contributes to performance-focused open-source work such as Intel’s PyTorch extensions. Now based in Mountain View and building at Elorian AI, he combines deep research instincts with backend engineering rigor to ship optimized operators and scalable ML pipelines. Colleagues know him for bridging low-level performance improvements (e.g., deep learning operator implementation) with high-level product impact across privacy-sensitive domains.
10 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University at Buffalo
English, Chinese
Github Skills (8)
pytorch10
c-language10
deep-learning10
cprogramming-language10
intel9
machine-learning9
python8
quantization6
Programming languages (6)
Github contributions (5)
intel/intel-extension-for-pytorch
Apr 2020 - Nov 2020
A Python package for extending the official PyTorch that can easily obtain performance on Intel platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:43 commits, 19 PRs, 97 comments in 7 months
Contributions summary:Zhen contributed to the implementation and modification of deep learning operators, specifically focusing on enabling and later reverting "dil max pool 2d" functionality. The code changes involve modifying `DevOPs.h` and `DevOPs.cpp` to support the new operator, including its forward and backward passes. Additionally, the user made changes to the `gen-dense-cpu-ops.py` script to include aten::max_pool2d_with_indices and its backward operation.
pytorchpythondeep-learningintelmachine-learning
pinzhenx/pytorch
Oct 2019 - Jan 2021
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Contributions:2 PRs, 60 pushes, 4324 branches in 1 year 3 months
pythongpu-accelerationdeep-learninggpuacceleration
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