Huang Hao
CTO at Meijika
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolHuang Hao is a seasoned technology leader and CTO based in Beijing with over 6 years of hands-on engineering experience and two decades of entrepreneurial and management background dating to the late 1990s. He has repeatedly scaled teams and systems—leading search, data analytics, crawler and monetization initiatives that increased capacity and revenue at Ganji, and designing a browser crash-detection platform while at Qihoo 360. As an active backend contributor to major Apache projects like Ozone and Ratis, he has deep expertise in distributed storage, Raft-based consensus, stream handling and resilience engineering. He combines product-focused R&D leadership with low-level systems work, selecting pragmatic technologies to boost development efficiency and system reliability. A Peking University MS/BS alumnus, he blends academic training with a founder’s instincts for building high-impact engineering organizations.
6 years of coding experience
12 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at Peking University
Github Skills (19)
netty10
storage10
object-storage10
hadoop10
java10
javas10
data-streaming10
exception-handling10
concurrency10
back-end-development9
big-data9
object-store9
performance-optimization8
metric7
kubernetes-pods6
Programming languages (2)
Github contributions (5)
apache/ozone
Oct 2021 - Apr 2022
Scalable, reliable, distributed storage system optimized for data analytics and object store workloads.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:60 reviews, 22 commits, 68 PRs in 5 months
Contributions summary:Huang's contributions primarily involve modifying and extending the Apache Ozone backend. They made changes to enhance the object store, including adding methods for streaming operations and improving the BlockDeletingService. These changes involved modifying core components of Ozone such as the client, key management, and container services. The user also addressed bugs and configuration issues in various components.
scalableredundantapachebig-dataspark
apache/ratis
Nov 2021 - Jul 2022
Open source Java implementation for Raft consensus protocol.
Role in this project:Back-end Developer
Back-end DeveloperContributions:25 reviews, 19 commits, 37 PRs in 8 months
Contributions summary:Huang primarily contributed to the Apache Ratis project by addressing several issues related to the Netty client and server components. They fixed bugs in stream handling, exception management, and error handling within the Netty client implementation. Furthermore, they introduced improvements to the stream client by adding request timeouts and handling abnormal disconnections, ensuring more robust data streaming. Their work also involved optimizing the server-side data stream management, including addressing a critical issue related to ByteBuf release and integration of metrics.
raft-consensusraft-consensus-algorithmconsensus-protocolconsensuspaxos
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