Haifeng He
Software Engineer at Temporal Technologies
Bellevue, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolHaifeng He is an experienced software engineer and engineering leader with 11 years building high-performance storage and distributed systems, currently focused on DynamoDB core storage at AWS in Bellevue. He has led teams shipping DynamoDB Transaction Service and PartiQL, and earlier worked on Amazon Keyspaces and Elastic Inference, combining product launches with deep systems design. Prior to AWS he contributed to Windows kernel engineering and binary code optimization at Microsoft, grounding his work in low-level performance and reliability. At Temporal Technologies he continues hands-on backend development, improving replication, namespace management, and migration robustness for the widely used Temporal service. Known for bridging management and individual contribution, he pairs people leadership with tangible code-level impact on data consistency and replication workflows. He holds computer science training from East China Normal University and the University of Arizona, and often recruits and mentors engineers for core database infrastructure roles.
11 years of coding experience
12 years of employment as a software developer
Bachelor, Computer Science, Bachelor, Computer Science at East China Normal UniversityComputer Science, Computer Science at University of Arizona College of Engineering
Github Skills (13)
error-handling10
distributed-systems10
micro10
workflow-engine10
go10
microservices10
microarchitecture10
testing9
servicebus9
orchestration8
workflow-automation8
microservice-framework8
temporal7
Programming languages (3)
Github contributions (5)
temporalio/temporal
Jul 2022 - Mar 2025
Temporal service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:79 reviews, 43 PRs, 122 pushes in 2 years 7 months
Contributions summary:Haifeng primarily contributed to the backend of the Temporal service, specifically focusing on the force replication and namespace management workflows. Their work involved implementing error handling and input validation, ensuring the robustness of these critical processes. Further contributions included adding a verification step to confirm the successful application of replication tasks, enhancing data consistency across clusters. They also made improvements to the core services in various migration related activities.
service-busmicroservice-orchestrationworkflow-automationworkflow-enginedocker
temporalio/s2s-proxy
Feb 2025 - Mar 2025
s2s-proxy is a service that intercepts and forwards requests between two Temporal servers.
Contributions:2 releases, 1 review, 9 PRs in 28 days
gomulti-clustersproxytemporal
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