Chao Xu - Software Engineer at Oracle

Chao Xu

Software Engineer at Oracle

Sunnyvale, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Chao Xu is a software engineer with 11+ years of experience building scalable infrastructure, cloud-native observability, and high-throughput data streaming systems, now working at Oracle after nearly a decade at LinkedIn. He holds a PhD in Computer Engineering and advanced degrees from Tsinghua, bringing deep systems and kernel-level experience from earlier roles at NVIDIA and Sun to web infrastructure, service mesh, and Kubernetes-based deployments. At LinkedIn he helped renovate the observability data pipeline that handles roughly one-third of the company’s stream data and drove containerization of agents using OpenTelemetry and fluent-bit. He has hands-on expertise with Kafka, Samza, AVRO/Protobuf serialization, and has contributed performance and race-condition fixes to the widely used Rest.li framework. Comfortable across low-level system programming and large distributed platforms, he focuses on reliability, performance tuning, and making complex systems more observable and operable.

11 years of coding experience

24 years of employment as a software developer

Doctor of Philosophy (PhD) Computer Engineering, Doctor of Philosophy (PhD) Computer Engineering at Case Western Reserve University

Master's degree Computer Science, Master's degree Computer Science at Tsinghua University

java

Github Skills (8)

javas10

caching10

performance-optimization10

multithreading10

java10

concurrency10

zookeeper9

rest-api8

Programming languages (1)

Java

Github contributions (3)

linkedin/rest.li

Apr 2015 - Nov 2020

Rest.li is a REST+JSON framework for building robust, scalable service architectures using dynamic discovery and simple asynchronous APIs.

Role in this project:

Back-end Developer

Contributions:22 reviews, 82 commits, 4 PRs in 5 years 7 months

Contributions summary:Chao primarily addressed race conditions and improved performance within the Rest.li framework, focusing on areas related to caching and thread safety. They fixed potential race conditions in the d2 tracker client selection by addressing inconsistencies between tracker client lists and hash rings. Additionally, the user made performance optimizations, specifically improving memory usage and reducing garbage collection in the DegraderLoadBalancerState by introducing ring point reuse and replacing data structures to use less memory. They also addressed a bug regarding SSL configuration and provided additional support for setting the base path when running d2.

architecturesapiscalableasynchronousrestful

ChaoLinkedIn/parseq

May 2018 - May 2018

Contributions:2 pushes, 1 branch in 1 day

javaasynchronousasync

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