Speaker: Dheeraj Rampally

Senior Software Engineer @Paypal

Dheeraj has 5 plus years of experience in building high scalable big data applications. Initially he worked at Yahoo where he contributed to Supply forecasting, Ad-serving by building Data Pipelines in Apache Pig, Spark and Oozie. He also has hands on experience in Document based stores like Mongo DB and Columnar stores like Druid. Currently he is working as a senior software engineer at Paypal where he is the core contributor to the Data Catalog which constitutes building highly scalable low latency applications in Java and Data discovery in Scala. Additionally, he works on the Unified data api in Scala on Spark Compute. He is also a contributor of several core features in PayPal’s Gimel Elastic Search API.

Find Dheeraj Rampally 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.