Yufei Yu
Senior Member Of Technical Staff at Oracle
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolYufei Yu is a seasoned Senior Member of Technical Staff based in Beijing with nine years of professional software engineering experience and a master's in Communication and Information Systems. Currently at Oracle, he brings deep backend engineering expertise shaped by earlier roles at Motorola and Nortel. He contributes to open-source FinOps work—improving time-series prediction logic and preprocessing for the Crane platform—demonstrating practical skills in DSP, forecasting, and cloud cost analytics for Kubernetes. Yufei excels at turning noisy telemetry into actionable estimators that improve resource cost predictions and application quality. Known for pragmatic, data-driven improvements rather than flashy rewrites, he balances long-term system health with measurable short-term gains. He combines telecom-grade systems knowledge with cloud-native observability and economics to solve operationally critical problems.
8 years of coding experience
4 years of employment as a software developer
master, Communication and information systems, master, Communication and information systems at Beijing University of Posts and Telecommunications
Github Skills (9)
algorithms10
time-series10
go10
dspic10
dspace10
data-analysis10
fins9
kubernetes-pods9
kubernetes9
Programming languages (1)
Github contributions (5)
gocrane/crane
Dec 2021 - Aug 2022
Crane is a FinOps Platform for Cloud Resource Analytics and Economics in Kubernetes clusters. The goal is not only to help users to manage cloud cost easier but also ensure the quality of applications.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 reviews, 29 commits, 73 PRs in 8 months
Contributions summary:Yufei primarily focused on updating the DSP (Digital Signal Processing) prediction logic within the Crane FinOps platform. They introduced enhancements to the time series prediction algorithm, demonstrating expertise in processing time-series data and implementing prediction models. This involved significant code changes related to pre-processing, data analysis, and the application of estimators within the system. Their contributions are essential for improving the accuracy and efficiency of resource cost predictions.
gcpcost-estimationgoalclustersaws
yufeiyu/crane
Jan 2022 - Aug 2022
Crane (FinOps Crane) is an opensource project which manages cloud resource on Kubernetes stack, it is inspired by FinOps concepts.
Contributions:156 pushes, 25 branches in 6 months
finopsdevopsglusterfscloudk8s
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.