Asurion’s Connected Home simplifies the complexities of operation, setup, and management of connected devices and services.
Leveraging latest advancements in Machine Learning, Big Data, and Real-Time processing capabilities, we have built a platform capable of keeping the connected world connected and continually learning.
Solving this technical challenge requires running multiple continuous applications capable of transactional data storage, multi-level aggregations, joins, execution of ML models with data privacy and security at its core.
Asurion Connected Home platform achieves this goal by using Spark Structured Streaming, Delta Lake and MLflow on Databricks.
Tomasz is a seasoned technology leader specializing in real world implementations of Big Data, Real-Time applications and Machine Learning technologies. He has deployed and managed production applications processing billions or transactions and servicing millions of customers. Tomasz uses cutting edge features to enable companies to gain technical advantage by using Spark Structured Streaming, Delta Lake, Spark on Databricks and MLFlow.
An experienced engineering leader, Shobhit is focused on solving product needs for large volume data processing, real time analytics and applied machine learning leveraging the rapidly evolving Big Data technology stack. He has long experience in architecting, building and deploying scalable platforms serving billions of users. Shobhit has successfully deployed complete platforms to production using Spark at heart hosted in both data center and cloud. His current focus is on building a highly scalable, multi-tenant platform for real time user experience leveraging Databricks, Delta Lake, Spark Core and Spark ML.