Keyang Xie

Director Of AI Engineering at SmartMore

Chaoyang District, Beijing, China
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Summary

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Keyang Xie is a technical expert with 11 years of hands-on experience designing cloud-native and AI infrastructure, currently driving unified training-inference and high-throughput LLM serving platforms. He combines deep Kubernetes and container runtime expertise with practical ML systems work—building Continuous Batching, PagedAttention optimizations, tensor/expert parallel multi-node inference, and a commercial MaaS marketplace for multimodal models. Previously he led large platform teams at SmartMore and Kingsoft Cloud, shipping Volcano-based GPU scheduling, operator-driven heterogeneous GPU standardization, and Argo-based ML pipelines. An active contributor to open-source serverless and runtime projects (notably improvements and tests for Firecracker and Fission), he brings a quality-first mindset to backend and DevOps engineering. Known for solving systemic performance and stability bottlenecks, he repeatedly translates research-grade methods (LoRA, DeepSpeed ZeRO-3) into production-grade pipelines. Based in Beijing, he pairs an engineering leadership track record with low-level container/runtime fluency that’s rare among ML infrastructure architects.
code11 years of coding experience
job5 years of employment as a software developer
bookMaster, Mechanical & Electronic Engineering, Master, Mechanical & Electronic Engineering at Harbin Institute of Technology
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Stackoverflow

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Github Skills (20)

unit-testing10
kubernetes10
back-end-development10
go10
kubernetes-pods10
virtualization10
functions-as-a-service10
serverless10
rust10
devops10
container9
python9
http9
cloud-native9
docker8

Programming languages (6)

C#C++RustCGoPython

Github contributions (5)

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Secure and fast microVMs for serverless computing.
Role in this project:
userBack-end Developer & QA Engineer
Contributions:10 commits, 16 PRs, 40 comments in 10 months
Contributions summary:Keyang primarily contributes to the Firecracker microVM project by improving existing code and adding unit tests. They refactored code in various modules, including `vmm`, `logger`, `mmds`, `micro_http`, and `devices`, optimizing logic and enhancing readability. Their contributions also involve adding and modifying unit tests, including adding assertions to verify metrics output. These improvements demonstrate a focus on both code quality and testing.
containerssecureminimalistrustserverless
fission/fission

Apr 2018 - Aug 2018

Fast and Simple Serverless Functions for Kubernetes
Role in this project:
userBack-end & DevOps Engineer
Contributions:12 commits, 21 PRs, 41 comments in 4 months
Contributions summary:Keyang's contributions primarily focus on improving the stability and functionality of the Fission serverless platform. They addressed critical bug fixes related to configuration flags and HTTP status codes, enhancing the user experience. The user implemented architectural improvements, such as configurable resources for the fetcher and round-tripper parameters. In addition, they contributed to the Python environment by adding a gevent-based WSGI server framework and benchmark tests, expanding the capabilities of the platform.
containersfunctionsdevopsfissionserverless
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Keyang Xie - Director Of AI Engineering at SmartMore