Li Ding
Software Engineer at Rubrik, Inc.
Cupertino, California, United States
Summary
🤩
Rockstar🎓
Top SchoolLi Ding is a seasoned software engineer with 10+ years building high-performance storage and virtualization systems, currently accelerating VMware VM backup and restore at Rubrik in Cupertino. He has deep distributed-systems and storage expertise from roles at VMware and ClusterHQ, including work on VDFS data paths, variable-sized B-trees, AIO subsystems, and snapshot technologies. Li contributes to prominent open-source infrastructure such as NVIDIA's AIStore—refactoring data readers and improving loader robustness—demonstrating practical DevOps and backend engineering skills. Early career experience designing USB device drivers and protocol tools gives him a rare full-stack systems perspective from firmware to cloud. Known for relentless work ethic and pragmatic problem solving, he specializes in turning complex IO and storage challenges into reliable, performant production systems.
9 years of coding experience
22 years of employment as a software developer
MS Computer Engineering, MS Computer Engineering at University of CincinnatiBS Computer Engineering, BS Computer Engineering at Tsinghua University
Chinese
Github Skills (11)
object-storage10
go10
testing9
distributed-systems9
kubernetes8
kubernetes-pods8
devops8
docker6
dockers6
automation5
automations5
Programming languages (2)
Github contributions (2)
NVIDIA/aistore
Mar 2018 - Apr 2018
AIStore: scalable storage for AI applications
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:12 commits, 59 PRs, 810 pushes in 22 days
Contributions summary:Li refactored the data generator in the `aistore` repository, introducing a `client.Reader` interface and implementing random readers, in-memory readers, and file readers. The changes involved significant modifications to the `pkg/client/readers` package and related testing. Furthermore, the user updated the `dfcloader` to handle delete errors, updated the `client.go` to use a longer timeout, and made changes related to statsd/collectd support for the ubuntu container image.
scalabledeep-learningdistributed-shufflemachine-learninghyper-converged
ClusterHQ/flocker
Jun 2016 - Jun 2016
Container data volume manager for your Dockerized application
Contributions:2 comments in 1 day
containersdata-containerdockervolumehybrid-cloud
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