The more you give, the more you receive. 给予越多，收获越多。
Yuan is a senior software engineer at Ant Group , building AI infrastructure and AutoML platform. He's a PMC member of XGBoost and Apache MXNet , co-chair of Kubeflow , committer of TensorFlow , Couler , and ElasticDL , as well as author of numerous open source projects . He's also the co-author of TensorFlow in Practice and Dive into Deep Learning .
唐源，现任 蚂蚁集团 技术专家，目前专注于建立 AI 基础架构和自动机器学习平台， 是 多个开源软件 的作者， XGBoost 和 Apache MXNet 的 项目管理委员会 成员， Kubeflow 的联合主席， TensorFlow 、 Couler 、以及 ElasticDL 的 Committer。同时也是 《TensorFlow实战》 以及 《动手学深度学习》 的作者之一。
The more you give, the more you receive.
I am currently a senior software engineer at Ant Group , building AI infrastructure and AutoML platform.
Meanwhile, I've been involved in many numerous popular open-source software, including TensorFlow , XGBoost , Apache MXNet , Kubeflow , Couler , and ElasticDL . Please check out my projects page and GitHub page for more information. I am also the co-author of TensorFlow in Practice and Dive into Deep Learning .
Before joining Ant Group, I was a senior AI platform engineer at H2O.ai where I primarily worked on open source machine learning platform H2O and Driverless AI . Prior to H2O.ai, I led a team at Uptake that built our scalable data science platform to monitor the condition of industry assets such as trains, airplanes, and wind turbines to avoid machine failures and reduce downtime. I also led all the open source initiatives within Uptake data science team.
I graduated from the Pennsylvania State University in Mathematics with honors. I was the co-founder of DataNovo where I built the analytics platform for predictive insights, keywordless prior art search, and product assessment on infringement for law firms, patent attorneys, etc.
给予越多，收获越多。
我目前在 蚂蚁集团 担任技术专家，建立我们的AI基础架构和自动机器学习平台。
与此同时，我一直积极参与开源软件的开发，包括 TensorFlow 、 XGBoost 、 Apache MXNet 、 Kubeflow 、 Couler 、 以及 ElasticDL 。请点击 Projects页面 和 GitHub页面 了解更多相关内容。我也是 《TensorFlow实战》 以及 《动手学深度学习》 的作者之一。
在加入蚂蚁金服之前，我是 H2O.ai 的一名高级AI平台工程师。主要建立开源机器学习平台 H2O 和 Driverless AI 。 在这之前，我在 Uptake 带领团队建立数据科学平台，主要用来监控大型工业领域机械的健康状况， 比如铁路、航空以及能源行业，以便更好的预测机械故障和避免停机现象。我也是 Uptake 所有 数据科学开源项目 的负责人。
我从 宾夕法尼亚州立大学 获得荣誉数学学位。在这期间，我成为了 DataNovo 的合伙人，搭建了DataNovo的法律数据分析平台，包括专利数据挖掘、 无关键字现有技术搜索、策略推荐等。
