Making Open Work
May 8–9, 2017: Training & Tutorials
May 10–11, 2017: Conference
Austin, TX
Michelle Casbon

Michelle Casbon
Senior Engineer, Google Cloud Platform Developer Relations

Website | @texasmichelle

Michelle Casbon is a senior engineer on the Google Cloud Platform developer relations team, where she focuses on open source contributions and community engagement for machine learning and big data tools. Michelle’s development experience spans more than a decade and has primarily focused on multilingual natural language processing, system architecture and integration, and continuous delivery pipelines for machine learning applications. Previously, she was a senior engineer and director of data science at several San Francisco-based startups, building and shipping machine learning products on distributed platforms using both AWS and GCP. She especially loves working with open source projects and has contributed to Apache Spark and Apache Flume. Her writing has been featured in the AI section of O’Reilly Radar. Michelle holds a master’s degree from the University of Cambridge.

Sessions

1:45pm2:25pm Wednesday, May 10, 2017
The Cutting Edge
Location: Meeting Room 18 A/B
Level: Intermediate
Michelle Casbon (Google Cloud Platform Developer Relations)
Average rating: ****.
(4.50, 2 ratings)
To establish a global user base, a product needs to support a variety of locales. The challenge with supporting multiple locales is the maintenance and generation of localized strings. Michelle Casbon explains how open source tools like Scala, Apache Spark, Apache Kafka, and Apache PredictionIO (incubating) provide structure for a scalable localization platform with machine learning at its core. Read more.