Chong Liu
Software Engineer at Hulu
Beijing, China
Summary
🤩
Rockstar🎓
Top SchoolChong Liu is a software engineer based in Beijing with four years of experience building full-stack web systems and data pipelines, currently contributing at Hulu. He has practical expertise across frontend (Vue.js), backend services, ETL platforms, and ML-adjacent tooling, having implemented Snowflake connectors, HDFS-to-Hive sync, and visualization tools for ETL workflows. At Microsoft he collected cloud deployment and telemetry data into Cosmos DB and built alerting and API services, and on GitHub he improved reliability and tracing for Microsoft’s popular Promptflow project—contributing error handling, iterator support, tests, and documentation. Comfortable in both product-facing UI work and backend/DevOps responsibilities, he favors pragmatic refactors that boost performance and maintainability. Trained with bachelor’s and master’s degrees in computer science from Beijing University of Posts and Telecommunications, he blends engineering rigor with a curiosity for big data and web development.
4 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Beijing University of Posts and Telecommunications
English, Japanese, Chinese
Github Skills (14)
opentelemetry10
unit-testing10
error-handling10
tracer10
pytest10
trace10
python10
unit-test10
api-design9
documentation9
sphinx9
prompt-engineering8
llm8
ai8
Programming languages (2)
Github contributions (5)
microsoft/promptflow
Sep 2023 - Aug 2024
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Role in this project:
Back-end Developer & DevOps Engineer
Back-end Developer & DevOps EngineerContributions:121 reviews, 65 PRs, 156 pushes in 11 months
Contributions summary:Chong's contributions primarily focused on improving the Promptflow codebase's reliability and maintainability. This involved implementing error handling, integrating user agent information, and adding support for iterator outputs. They also added documentation and unit tests for key functionalities, such as tracing. Furthermore, the user contributed to enhancements in the tracing of generator outputs and overall system performance improvements through code refactoring.
llmmonitoringtestingaichatgpt
liucheng-ms/mychatbot
Jan 2024 - Jan 2024
Contributions:10 PRs, 10 pushes, 3 branches in 2 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.