Yong Tang
Senior Director Of Engineering, Artificial Intelligence & Platform
San Jose, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYong Tang is a seasoned technology executive and open-source leader with over a decade of experience building AI/ML platforms, cloud-native infrastructure, and secure distributed systems. As Senior Director of Engineering for AI & Platform at Ivanti, he led LLM-driven automation that processes 85–95% of ITSM tickets and managed multi-cloud AI infrastructure while optimizing a $40M+ hosting budget. He combines hands-on systems engineering—contributions to high-profile projects like TensorFlow, CoreDNS, Docker, and moby/swarmkit—with strategic skills in SOC 2/FedRAMP compliance, observability, and cost negotiation. A frequent KubeCon and TensorFlow World speaker and multiple-time Google Open Source Peer Bonus recipient, he’s known for making complex systems dependable at scale. Beyond leadership, he remains deeply technical—maintaining CoreDNS plugins, refining Docker tooling, and implementing production-grade data/streaming features in TensorFlow IO.
12 years of coding experience
15 years of employment as a software developer
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Peking UniversityDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at University of Florida
Github Skills (72)
python10
builder-pattern10
testing10
command-line-interface10
c1110
refactor10
c1710
javas10
automation10
dns10
dockerfile10
refactoring10
nameserver10
integration-testing10
avro10
Programming languages (17)
Github contributions (5)
tensorflow/io
Jan 2018 - Jan 2023
Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO
Role in this project:
Back-end Developer
Back-end DeveloperContributions:23 releases, 197 reviews, 1014 commits in 5 years
Contributions summary:Yong contributed to the implementation of a complete Avro implementation, including the C++ Avro library, a new attribute schema, and various test cases. They added support for adding and processing HDF5 data. They fixed issues related to type mismatches and added support for int64 and float64. They also created a "rebatch" method, optimized the processing of text lines, and enhanced the audio operations.
datasetstreamingsigextensionsfilesystem
coredns/coredns
Sep 2016 - Jan 2023
CoreDNS is a DNS server that chains plugins
Role in this project:Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:109 reviews, 266 commits, 1285 PRs in 6 years 5 months
Contributions summary:Yong contributed to the CoreDNS project by adding and testing the health middleware. They also removed the lumberjack logger from the codebase and adjusted the default log output. Additionally, the user fixed build errors by changing the Kubernetes controller to `pkg/client/cache` and fixed proxy upstream parser issues. Finally, the user added code coverage processing with Travis-CI integration and performed various golint cleanups and dependency updates.
dnspluginchainsdns-servercncf
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