Tobias Senst
Tobias Senst is a Senior Machine Learning Engineer at idealo internet GmbH. Tobias Senst received his PhD in 2019 from the Technische Universität Berlin under the supervision of Prof. Thomas Sikora. He has more than 10 years of experience in Computer Vision and Video Analytics research.
At idealo, he switched from the world of images and videos to Natural Language Processing and is responsible for the operation and development of machine learning models in a productive environment.
- LinkedIn: https://linkedin.com/in/tobias-senst-08090b192
- Github: https://github.com/tsenst
Session
Running machine learning models in a production environment brings its own challenges. In this talk we would like to present our solution of a machine learning lifecycle for the text-based cataloging classification system from idealo.de. We will share lessons learned and talk about our experiences during the lifecycle migration from a hosted cluster to a cloud solution within the last 3 years. In addition, we will outline how we embedded our ML components as part of the overall idealo.de processing architecture.