Software Engineer of Pinterest
Stephanie is currently a software engineer on the Data Engineering team at Pinterest, where she has worked with Apache Spark, Kafka, Hive and ElasticSearch. At Pinterest she worked on integrating Spark into Pinterest's infrastructure for large-scale and distributed machine learning. She produced a machine-learning-as-a-service tool; a wrapper around MLLib that fit better with Pinterest’s job scheduling system. She then helped build out the first of many use cases including churn prediction and email click prediction. Stephanie graduated from UC, Berkeley, where she received a masters in computer science, with a focus on machine learning.
|Spark it Up! Data Science at Scale using Apache Spark||OCTOBER 16||12:00 pm - 1:00 pm|