Speaker: Sumit Rangwala

Senior Staff Software Engineer - Artificial Intelligence @LinkedIn

Sumit Rangwala is a Senior Staff Software Engineer, Artificial Intelligence, currently focusing on building scalable machine learning infrastructure at Linkedin. Over the last 15+ years, Sumit has built technologies ranging from computer networking protocol, smart grid, distributed K-V store, ML scoring library, and graph recommendation platform. Sumit earned his Masters and PhD from University of Southern California focusing on computer networking and distributed systems. 

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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