Uber Eats in the News

A selection of press articles and external publications about the work of my team at Uber Eats from 2017 - 2023

Product Launches

• Uber Overhauls Its App To Combine Eats and Rides Businesses In One Place (Super app)
• Uber eats Uber Eats, embedding it in the main app (Eats in Rides - XLB)
• Uber launches rider loyalty Rewards like credits & upgrades 9 cities (Uber Rewards)
• Uber Eats Adds Allergy-friendly Options, Cuts Cutlery (Project Tuna & Project Fingerfood)
• Uber is testing selling foodie experiences via Uber Eats (Moments)
• Uber Eats launching Eats Pass Subscription (Eats subscription)
• Starbucks will soon expand its delivery service via Uber Eats (Menu 2.1)
• Uber tests monthly subscription that combines Eats, rides, bikes and scooters (Eats Pass)
• Uber Eats invades restaurants with Dine-In option (Dine-In bet)
• Uber Eats Introduces Group Ordering (Group Ordering on web)
• Uber Eats launches delivery alternative with new pickup feature (Pickup)
• Uber brings five-star rating system to UberEATS app (Restaurant / dish ratings)
• Uber Eats widens service to eateries that already deliver (BYOC)
• Uber Eats boosts delivery tracker transparency with colorful animations (Project Genie)
• Uber Eats Celebrates Its Second Anniversary With a Rebrand (One of 3 rebrands we’ve done)
• Uber Eats Bets on Personalization for a Delivery Edge (Discovery work)
• Uber Eats and the $6 billion bookings run rate: The AI success story no one is talking about (Discovery recommendations)
• Uber adds tipping (Project Gladwell)
• I was a die-hard Seamless/Grubhub user, but after switching to Uber Eats for a week I'm never looking back (Detailing all the positive UX changes we’ve made in last few years)

Engineering Projects

• A Brief History of Scaling Uber (a story I put together summarizing the major events of what Uber engineering did to enable global scale)
• Meet Michelangelo: Uber’s Machine Learning Platform (We are the major consumer of Michelangelo and helped craft their use cases)
• Food Discovery with Uber Eats: Using Graph Learning to Power Recommendations (One of our collaborations with Uber AI to bring state of the art techniques to improve our recommendation candidates)
• Food Discovery with Uber Eats: Recommending for the Marketplace
• Food Discovery with Uber Eats: Building a Query Understanding Engine
• Scaling Machine Learning at Uber with Michelangelo (Eats recommendations)
• Playing the Perfect Game: Building Uber Eats on Android (story about us building the Eats Android app)
• Rebuilding ubereats.com (details about the overhaul of our web experiences)
• Improving Uber Eats Home Feed Recommendations via Debiased Relevance Predictions (continued improvements to our home feed recommendation algorithm)

People and Culture

• Meet Uber’s Software Engineer Apprentices (apprentice program led by Josh featuring a few Eats engineers)
• From Financial Models to iOS Model View Controllers: Making a Career Move to Programming (Joe Zhou’s move from finance into iOS)
• How to Have Your Software Engineering Job and Eat It Too (Aimee Lucido story)
• From Milking Cows to Writing Code: A Dreamer’s Journey (Benito Sanchez story)
• How Anwaya Aras and her team help Uber Eats users find the best option for what they’re craving (Anwaya Aras story)
• At Uber Eats Janki Mehta solves problems that matter to her most