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About Me

Table of Contents

Overview
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Shanshan Shen | 申杉杉

September 18th, 1998

Hello, I am currently a software engineer working at Huawei Ascend, focusing on LLM / VLM inference and reasoning. I have contributed to some popular open source projects such as vLLM, to build a easy-to-use software ecosystem for Ascend. Before this, I was a student at Beijing Jiao Tong University (BSc/MSc), majoring in communication engineering. You can see my projects at Github, or see my posts at Zhihu.


Experience
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  1. Huawei

    Software Engineer

    July '23 - Present

    Working at Huawei Ascend, building vLLM inference engine, previously at Quality and Process IT Department.
  2. Beijing Jiao Tong University

    Postgraduate Student

    September '21 - June '23

    Studying at School of Electronic and Information Engineering, focusing on wireless communication NAS layer security.
  3. Beijing Jiao Tong University

    Undergraduate Student

    September '16 - June '20

    Studying at School of Electronic and Information Engineering, majoring in communication engineering.

Open Source Contribution
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I am a core contributor to vllm-ascend and an enthusiastic contributor to vllm. Find more details about these projects in the following links.

vllm-project/vllm-ascend

Community maintained hardware plugin for vLLM on Ascend

Python
798
217

vllm-project/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

Python
50651
8293

Plus, I am a contributor to many open source projects on GitHub, which are shown below. You can find the PRs I have contributed here.

No.RepoStarsForksFirst PRLast PRPR Count
1vllm-project/vllm-ascend7972172025-02-062025-06-2344
2vllm-project/vllm50.6k8.3k2025-01-132025-05-2312
32noise/ChatTTS36.9k4k2024-10-102024-10-212
4ggml-org/llama.cpp82.1k12.2k2024-11-262024-11-261

Programming Skills
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Contact me
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Feel free to drop me an email, gmail and qq-mail are both available.

You can also have my WeChat through the picture shown below:

WeChat

NOTE: Remember to add a description before sending a request.