Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Garner Chung

Garner Chung
Engineering Manager, Human Computation and Data Science, Pinterest

Garner Chung is the engineering manager of the human computation team and the data science team supporting core product, growth, and infrastructure at Pinterest. Previously, he managed the data science team at Opower, where he drove efforts to research and productionize predictive models for all of product and engineering. Many years ago, he studied film at UC Berkeley, where he learned to deconstruct and complicate misleadingly simple narratives. Over the course of his 20 years in the tech industry, he has witnessed exuberance over technology’s great promise ebb and flow, all the while remaining steadfast in his gratitude for having played some small part. As a leader, Garner has learned to drive teams that privilege responsibility and end-to-end ownership over arbitrary commitments.


1:50pm2:30pm Thursday, March 8, 2018
Veronica Mapes (Pinterest), Garner Chung (Pinterest)
Average rating: *****
(5.00, 3 ratings)
Veronica Mapes and Garner Chung detail the human evaluation platform Pinterest developed to better serve its deep learning and operational teams when its needs grew beyond platforms like Mechanical Turk. Along the way, they cover tricks for increasing data reliability and judgement reproducibility and explain how Pinterest integrated end-user-sourced judgements into its in-house platform. Read more.