Speaker: Felix GV

Staff Software Engineer @LinkedIn

Felix GV is a software engineer working on LinkedIn's data infrastructure. He leads the Venice project, which sits at the interserction of offline processing, nearline processing and online data serving, in order to enable relevance engineers to push the boundaries of AI.

Besides working on Venice, Felix keeps a close eye on Hadoop, Kafka, Samza, Azkaban, Zookeeper, Helix, Avro and RocksDB. Felix likes to push the limits of scalability by gently breaking every system and library Venice depens on (:

Find Felix GV at

2019 Tracks

  • ML in Action

    Applied track demonstrating how to train, score, and handle common machine learning use cases, including heavy concentration in the space of security and fraud

  • Deep Learning in Practice

    Deep learning use cases around edge computing, deep learning for search, explainability, fairness, and perception.

  • Handling Sequential Data Like an Expert / ML Applied to Operations

    Discussing the complexities of time (half track) and Machine Learning in the data center (half track). Exploring topics from hyper loglog to predictive auto-scaling in each of two half-day tracks.

    Half-day tracks