Yuan is a founding engineer at Akuity, building an enterprise-ready DevOps platform. He has previously led data science and engineering teams at Alibaba and Uptake, focusing on AI infrastructure and AutoML platform. He's a co-chair of Kubeflow, a maintainer of TensorFlow, Argo, XGBoost, and author of numerous open source projects. In addition, Yuan authored three machine learning books and several impactful publications. He's a regular speaker at various conferences and a technical advisor, leader, and mentor at various organizations.
Distributed ML, Kubernetes | Co-chair @kubeflow | Maintainer @argoproj @tensorflow XGBoost | ex-Alibaba | Author | Speaker | Technical Advisor
- West Lafayette, IN, USA
-
15:25
(UTC -05:00) - https://terrytangyuan.github.io/about/
- @TerryTangYuan
- @terrytangyuan@fosstodon.org
- in/terrytangyuan
Sponsors
Highlights
Block or Report
Block or report terrytangyuan
Report abuse
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned
-
-
-
dmlc/xgboost Public
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
-
distributed-ml-patterns Public
Distributed Machine Learning Patterns (Manning Publications). Now available for early access. Read it online for free! https://bit.ly/2RKv8Zo
-
akuity/awesome-argo Public
A curated list of awesome projects and resources related to Argo (a CNCF graduated project)
-
2,071 contributions in the last year
Less
More





