Haibo Wang

Sunnyvale, California, United States

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Summary

🤩

Rockstar

🎓

Top School

Haibo Wang is a backend-focused software engineer with 10 years of experience specializing in machine learning and natural language processing at scale. Based in Sunnyvale, he combines a strong academic foundation from Tsinghua and Carnegie Mellon with executive training from Harvard Business School to bridge technical depth and strategic thinking. He contributes to high-profile Apache projects like InLong and ShenYu, improving data-streaming reliability and API gateway load balancing through targeted refactors, build fixes, and unit tests. Haibo’s strengths lie in stabilizing distributed Java systems—tuning RPC/Netty clients and load balancers—to make large-data ML pipelines more robust and testable. Colleagues value his pragmatic focus on warning reduction and build health, which often prevents subtle production issues. He brings an engineer’s attention to detail plus a product-aware perspective on deploying ML/NLP solutions in complex, real-world environments.

9 years of coding experience

Leadership and Strategy, Leadership and Strategy at Harvard Business School Executive Education

Bachelor, Electrical and Computer Engineering, Bachelor, Electrical and Computer Engineering at Tsinghua University

Master's degree, Computer Science, Master's degree, Computer Science at Carnegie Mellon University

Shanghai High School

Github Skills (20)

shen10

netty10

apache10

java10

javas10

junit10

data-streaming10

api-gateway10

jtest10

apache-poi10

urn9

url-encoding9

message-queue9

queuing9

uri9

Programming languages (3)

SmartyTypeScriptJava

Github contributions (5)

apache/shenyu

Nov 2021 - Jul 2022

Apache ShenYu is a Java native API Gateway for service proxy, protocol conversion and API governance.

Role in this project:

Back-end Developer

Contributions:29 reviews, 22 commits, 42 PRs in 7 months

Contributions summary:Haibo primarily focused on optimizing and cleaning up code within the `shenyu-loadbalancer` module. Their contributions involved refactoring the `RoundRobinLoadBalancer`, `RandomLoadBalancer`, and related caching mechanisms. They also made changes to the `shenyu-plugin-tars` and `shenyu-plugin-uri` modules, and added unit tests for the `URIPlugin` and various client register services. The work focused on improving the efficiency and testability of the API gateway's load balancing features and plugin components.

api-gatewaykong-pluginproxyshenyugrpc-proxy

apache/inlong

May 2022 - Nov 2022

Apache InLong - a one-stop, full-scenario integration framework for massive data

Role in this project:

Backend Developer

Contributions:41 reviews, 18 commits, 23 PRs in 6 months

Contributions summary:Haibo primarily focused on fixing warning logs and addressing build issues within the `apache/inlong` repository. Their commits involved modifying core Java files in the `tubemq-core` module, specifically related to RPC and Netty client configurations. Furthermore, the user made changes to utility classes and a manager module, indicating a focus on backend functionality and potentially integration aspects related to data streaming and message queuing within the InLong framework.

event-streamingstopframeworkapachebig-data

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