Yicheng Lu

Software Engineer - Ray Core at Anyscale

United States
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Summary

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Rockstar
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Yicheng Lu is a software engineer specializing in distributed systems, Linux kernel-level work, and ML infrastructure, with six years of experience building production-grade tooling. He currently contributes to Ray Core at Anyscale while actively maintaining and committing to KubeRay and Flyte, bridging cluster orchestration with scalable ML workloads. His background includes ML infrastructure at ByteDance and an internship at InfluxData, reflecting experience across high-throughput, real-world systems. Trained at Zhejiang University and the University of Illinois Urbana-Champaign (MS/BS), he blends rigorous computer engineering fundamentals with hands-on open-source engineering. Colleagues describe him as someone who thrives at the intersection of systems internals and developer-facing platforms, often surfacing edge-case kernel and scheduling insights that improve cluster reliability.
code6 years of coding experience
job2 years of employment as a software developer
bookMaster of Science in Computer Science Computer Science, Master of Science in Computer Science Computer Science at University of Illinois Urbana-Champaign
bookBachelor of Engineering in Electronics and Computer Engineering Computer Engineering, Bachelor of Engineering in Electronics and Computer Engineering Computer Engineering at Zhejiang University
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Github Skills (52)

pytorch10
kubernetes10
flyte10
parallel10
python10
rllib10
data-science10
agentic10
machine-learning10
large-language-models10
apache10
reinforcement-learning10
llm-inference10
llm10
hyperparameter-optimization10

Programming languages (3)

TypeScriptGoPython

Github contributions (5)

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Yicheng-Lu-llll/flytekit

Mar 2023 - Feb 2024

Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Contributions:230 pushes, 15 branches, 1 tag in 11 months
flytepython
Yicheng-Lu-llll/ray

Sep 2023 - Jul 2026

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Contributions:376 pushes, 54 branches, 1 comment in 2 years 10 months
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