Alain Rodriguez

Engineer, Uber

Alain has been a part of Uber’s engineering team since it could be fed by a couple of pizzas. He implemented the first Spark-based ETL pipeline at Uber as part of the migration to a Hadoop centric data world. Nowadays he uses Spark to analyze and classify trip GPS data in search of new product opportunities. In years prior he worked in Uber’s realtime dispatch engine and later lead the development of a realtime metrics engine powering Uber’s business dashboards. In a prior life he used to tinker with embedded systems in consumer and aerospace electronics.


Locality Sensitive Hashing By Spark

Locality Sensitive Hashing (LSH) is a randomized algorithm for solving Near Neighbor Search problem in high dimensional spaces. LSH has many applications in the areas such as machine learning and information retrieval. In this talk,… Read more