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

2019 Tracks

  • Groking Timeseries & Sequential Data

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

  • Deep Learning in Practice

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