FanTao
Machine Learning Engineer at Webank
Shenzhen, Guangdong Province, China
Summary
🤩
RockstarFanTao is a Machine Learning Engineer with 11 years of experience based in Shenzhen, specializing in machine learning, deep learning and federated learning and their real-world applications. He contributes to industrial-grade open-source projects such as FederatedAI/FATE, where his backend work improved task handling, cleaned up logging, and extended RabbitMQ integration—demonstrating attention to production robustness. Comfortable across model and systems boundaries, he focuses on making distributed ML workflows reliable and maintainable. His practical orientation shows in refactors that reduce technical debt while enabling federated scenarios at scale.
11 years of coding experience
Github Skills (4)
rabbitmq10
back-end-development10
federated-learning10
python10
Programming languages (4)
Github contributions (5)
FederatedAI/FATE
Jan 2019 - Jan 2023
An Industrial Grade Federated Learning Framework
Role in this project:
Back-end Developer
Back-end DeveloperContributions:26 releases, 229 reviews, 898 commits in 3 years 11 months
Contributions summary:FanTao's commits primarily focused on refactoring and improving code related to the "fate" federated learning framework, which includes the handling of task IDs and input data. They removed debug logs to clean up the code and also modified related modules in tracking_manager.py and task_executor.py. Additionally, the user updated the code for the RabbitMQ federated learning feature.
industrialfederated-learning-frameworkmachine-learninggradefate
FederatedAI/FATE-Community
Dec 2019 - Dec 2022
How FedAI community is running
Contributions:16 reviews, 38 commits, 15 PRs in 2 years 11 months
deep-learningfate-communitypythonmachine-learning
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.