Sep 9–12, 2019
TJ Torres

TJ Torres
Data Scientist, Intuit

TJ Torres is a data scientist at Intuit, where he works on the ML futures team tackling research problems in the areas of computer vision (CV) and natural language processing (NLP) in order to better customer experience within Intuit’s core products. Previously, he worked as an applied ML researcher, including building fashion recommendation models using computer vision to help understand visual style at Stitch Fix and building models to help automatically analyze issues with sign-up conversion at Netflix. He holds a PhD in physics.


11:55am12:35pm Wednesday, September 11, 2019
Location: LL21 C/D
Joy Rimchala (Intuit), TJ Torres (Intuit), Xiao Xiao (Intuit), Hui Wang (Intuit)
Average rating: *****
(5.00, 1 rating)
Document understanding is a company-wide initiative at Intuit that aims to make data preparation and entry obsolete through the application of computer vision and machine learning. A team of data scientists, Joy Rimchala, TJ Torres, Xiao Xiao, and Hui Wang, detail the design and modeling methodologies used to build this platform as a service. Read more.
  • Intel AI
  • O'Reilly
  • Amazon Web Services
  • IBM Watson
  • Dataiku
  • Dell Technologies
  • Intuit
  • Gamalon
  • Hewlett Packard Enterprise
  • MapR Technologies
  • Sisu Data
  • Intuit

Contact us

For conference registration information and customer service

For more information on community discounts and trade opportunities with O’Reilly conferences

Become a sponsor

For information on exhibiting or sponsoring a conference

For media/analyst press inquires