Presented By O’Reilly and Intel AI
Put AI to Work
April 29-30, 2018: Training
April 30-May 2, 2018: Tutorials & Conference
New York, NY
Raghav Ramesh

Raghav Ramesh
Machine Learning Engineer, DoorDash

Website

Raghav Ramesh is a machine learning engineer at DoorDash working on its core logistics engine, where he focuses on core AI problems: vehicle routing, Dasher assignments, delivery time predictions, demand forecasting, and pricing. Previously, Raghav worked on various data products at Twitter, including recommendation systems, trends ranking, and growth analytics. He holds an MS from Stanford University, where he focused on artificial intelligence and operations research.

Sessions

4:50pm–5:30pm Wednesday, May 2, 2018
How DoorDash leverages AI in its world-class on-demand logistics engine
Implementing AI, Models and Methods
 Location: Grand Ballroom East
Raghav Ramesh (DoorDash)
Average rating: *****
(5.00, 1 rating)
DoorDash is a last-mile delivery platform, and its logistics engine powers fulfillment of every delivery on its three-sided marketplace of consumers, Dashers, and merchants. Raghav Ramesh highlights AI techniques used by DoorDash to enhance efficiency and quality in its marketplace and provides a framework for how AI can augment core operations research problems like the vehicle routing problem. Read more.