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

  • Predictive Data Pipelines & Architectures

    Case Study focused look at end to end predictive pipelines from places like Salesforce, Uber, Linkedin, & Netflix

  • Sequential Data: Natural Language, Time Series, and Sound

    Techniques, practices, and approaches around time series and sequential data. Expect topics including image recognition, NLP/NLU, preprocess, & crunching of related algorithms.

  • 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