Speaker: Deepak Chandramouli

Analytics Tech Lead @PayPal

Deepak has over 13 years of experience in Data Engineering & 5 years of expertise building scalable data solutions in the Big Data space. He worked on building Apache Spark based Foundational Big Data Platform during the incubation of PayPal's Data lake. He has applied experience in implementing spark based solutions across several types of No-SQL, Key-Value, Messaging, Document based & relational systems. Deepak has been leading the initiative to enable access to any type of storage on Spark via - unified Data API, SQL, tools & services, thus simplifying analytics & large-scale computation-intensive applications.

Find Deepak Chandramouli at

Tracks

  • Groking Timeseries & Sequential Data

    Techniques, practices, and approaches, including image recognition, NLP, predictions, & modeling.

  • Deep Learning in Practice

    Deep learning lessons using Tensorflow, Keras, PyTorch, Caffe including use cases on machine translation, computer vision, & image recogition.

  • AI Meets the Physical World

    Where AI touches the physical world, think drones, ROS, NVidia, TPU and more.

  • Papers to Production: CS in the Real World

    Groundbreaking papers make real world impact.

  • Solving Software Engineering Problems with Machine Learning

    Anomaly detection, ML in IDE's, bayesian optimization for config. Machine Learning techniques for more effective software engineering.

  • Predictive Architectures in the Real World

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