The more you give, the more you receive. 给予越多，收获越多。
Yuan is currently a senior software engineer at Ant Financial , building AI infrastructure and AutoML platform. He's a committer of TensorFlow , XGBoost , and Apache MXNet , maintainer of several Kubeflow projects, and author of numerous open source softwares . He's also the author of TensorFlow in Practice which is the first book teaching TensorFlow in Chinese and has been translated to several other languages such as traditional Chinese and Korean... [click for details]
唐源，现任 蚂蚁金服 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。 一直积极参与开源软件的开发，是 多个开源软件 的作者， TensorFlow 、 XGBoost 、和 Apache MXNet 的 Committer，以及几个 Kubeflow 项目的 Maintainer。同时也是畅销书 《TensorFlow实战》 的作者，这本书是第一本 TensorFlow 的中文教材，并且已被翻译成繁体中文、韩语等其他语言…… 「 点击查看细节 」
Curriculum Vitae 履历The more you give, the more you receive.
I am currently a senior software engineer at Ant Financial , building AI infrastructure and AutoML platform.
Meanwhile, I've been involved in many numerous popular open-source softwares, including TensorFlow , XGBoost , Apache MXNet , and Kubeflow . Please check out my projects page and Github page for more information. I am also the author of best-selling book TensorFlow in Practice which is the first book teaching TensorFlow in Chinese. It has becoming training material for many companies and research labs in China and has been translated to several other languages such as traditional Chinese and Korean.
Before joining Ant Financial, 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.
Curriculum Vitae给予越多，收获越多。
我目前在 蚂蚁金服 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 、以及 Kubeflow 。请点击 Projects页面 和 Github页面 了解更多相关内容。我也是畅销书 《TensorFlow实战》 的作者，并获得优秀作者的称号。 这本书是第一本 TensorFlow 的中文教材，已成为许多中国公司和研究机构的教导材料的首选， 并且已被翻译成繁体中文、韩语等其他语言。
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。
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