Gabriel Fu is an AI software engineer based in Hong Kong with five years of experience building production ML systems, MLOps pipelines, and ML-driven products. He has driven end-to-end projects from prototyping to deployment—delivering an alpha video-chat AI as CTO in under three months and standing up MLOps and recommendation systems at scale in enterprise settings. As an active contributor to the prominent mlflow open-source project, he improved core tracking storage, added new Python and Java client APIs, and strengthened authentication and test coverage. Comfortable across backend, cloud infrastructure, and LLM engineering, he blends research-led deep learning R&D with pragmatic engineering in Python, Spark/Databricks, and streaming stacks. Trained in computational finance and astrophysics at UCL, he brings analytical rigor and a curiosity for unusual cross-domain solutions like text-to-SQL and real-time video-agent interactions.
Open source platform for the machine learning lifecycle
Role in this project:
Backend Developer
Contributions:224 reviews, 2 commits, 72 PRs in 1 day
Contributions summary:Gabriel focused on improving the `SqlAlchemyStore` by fixing tag filtering issues, adding tests, and simplifying return statements. They also implemented the `update_run()` Python API, which involved adding the function to the tracking client and top-level API, adding example code to docstrings, and writing test cases. Furthermore, the user implemented the `searchModelVersions()` API in the Java client and added authentication for HTTP Basic Auth.
Open source platform for the machine learning lifecycle
Contributions:14 reviews, 4 PRs, 587 pushes in 2 years 5 months
pythonlifecyclemlmachine-learningai
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.