Zhenhang Tong
AI Product Manager at InfiniFlow
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolZhenhang Tong is an AI Product Manager based in Shanghai with 11 years of engineering and product leadership experience, currently driving growth and community adoption for InfiniFlow’s RAG & Agents efforts. He blends hands-on backend engineering (Golang, distributed systems) with YC-style product rigor—personally engaging users, creating tailored agent templates, and turning GitHub and Discord feedback into product features. Prior roles span infrastructure and SaaS product builds at Pinduoduo, Udacity, Transsion and Team Code, where he led multi-cloud platforms, payment systems, and a CNCF-listed tool that helped secure Series A funding. His open-source contributions include stabilizing AWS SQS support and improving test coverage for the popular Machinery async task queue, reflecting a knack for production reliability and tooling. Fluent across Chinese and international product contexts, he focuses on making Chinese AI products globally compelling while keeping a pragmatic, user-first approach.
11 years of coding experience
10 years of employment as a software developer
辅修文学学士, 英语系, 辅修文学学士, 英语系 at 华东师范大学工科学士, 机械电子工程, 工科学士, 机械电子工程 at 上海电机学院
English
Stackoverflow
521reputation
131kreached
3answers
0questions
Github Skills (12)
amazon-dynamodb10
task-queue10
go10
aws10
dynamodb10
concurrency9
testing9
golang9
nginx6
php6
laravel6
rabbitmq3
Programming languages (7)
Github contributions (5)
RichardKnop/machinery
Dec 2017 - Mar 2018
Machinery is an asynchronous task queue/job queue based on distributed message passing.
Role in this project:
Backend Developer
Backend DeveloperContributions:50 commits, 4 PRs, 8 comments in 3 months
Contributions summary:Zhenhang's commits primarily focus on implementing and refactoring AWS SQS broker functionality within the `machinery` project, which is an asynchronous task queue. They added unit tests for the SQS broker implementation, improving its test coverage and reliability. The changes involved refactoring code, cleaning up logs, and correcting multi-threading issues to improve the broker's stability and efficiency. Additionally, the user worked on implementing result saving and making sure DynamoDB tables are prepared.
jobmessage-passingmongodbmachinerymemcached
ZhenhangTung/GoGym
Mar 2017 - Apr 2017
Contributions:2 releases, 85 commits, 18 PRs in 1 month
golangrest-apirest
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