Put open source to work
July 16–17, 2018: Training & Tutorials
July 18–19, 2018: Conference
Portland, OR
Fabio Buso

Fabio Buso
Head of Engineering, Logical Clocks AB

Website

Fabio Buso is the head of engineering at Logical Clocks AB, where he focuses on the machine learning service of the Hops Hadoop platform and leads the development of a scalable model serving infrastructure over Hops and Kubernetes. He is also involved in the development of a feature store for machine learning on Hops, which is integrated with the TensorFlow framework. Fabio has an international background. He holds a master’s degree in cloud computing and services with a focus on data intensive applications, awarded by a joint program between KTH Stockholm and TU Berlin. His master’s thesis at RISE SICS AB described his implementation of a strongly consistent metastore for Apache Hive on Hops.

Sessions

2:30pm–3:00pm Tuesday, July 17, 2018
Distributed TensorFlow on Hops
TensorFlow
 Location: B115-116
Tags: tensorflow
Fabio Buso (Logical Clocks AB)
Fabio Buso offers demonstrations of frameworks for building distributed TensorFlow applications on the Hops platform and walks you through the whole model lifecycle, from debugging and visualizing models on TensorBoard to parallel experimentation and distributed training (with the help of Spark) to model deployment and inferencing using TensorFlow Serving and Kubernetes. Read more.