Yicheng Lu
Software Engineer - Ray Core at Anyscale
United States
Summary
🤩
Rockstar🎓
Top SchoolYicheng 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.
6 years of coding experience
2 years of employment as a software developer
Master of Science in Computer Science Computer Science, Master of Science in Computer Science Computer Science at University of Illinois Urbana-ChampaignBachelor of Engineering in Electronics and Computer Engineering Computer Engineering, Bachelor of Engineering in Electronics and Computer Engineering Computer Engineering at Zhejiang University
Github Skills (66)
parallel10
python10
hyperparameter-optimization10
automation10
mlops10
deep-learning10
automl10
declarative10
extensible10
ray10
spotify10
optimization10
get-started10
dataops10
kubernetes-operator10
Programming languages (4)
Github contributions (5)
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
Yicheng-Lu-llll/ray
Sep 2023 - Sep 2024
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:16 pushes, 5 branches in 11 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.