San Francisco, CA, United States of America

Pedro Tanure Veloso

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovations of Pedro Tanure Veloso

Introduction

Pedro Tanure Veloso is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning and online retail systems. His innovative approach has led to the development of a unique patent that enhances the way pricing policies are applied to retail items.

Latest Patents

Pedro holds a patent titled "Counterfactual evaluation of policies for categories of items using machine learning prediction of outcomes." This patent describes an online concierge system that fulfills orders for items offered by retailers. The system may increase the price of an item in certain instances by applying a markup based on a pricing policy for a category that includes the item. To optimize the application of these pricing policies, the system categorizes items and applies an outcome model to various combinations of categories and pricing policies. The output from this model allows the system to select appropriate categories and corresponding pricing policies. Additionally, a price adjustment model is utilized to determine modifications to the pricing policies to enforce constraints across multiple policies.

Career Highlights

Pedro is currently employed at Maplebear Inc., where he continues to innovate and develop advanced systems for online retail. His work focuses on integrating machine learning with pricing strategies to enhance consumer experiences and optimize retailer profits.

Collaborations

Some of Pedro's notable coworkers include Cameron Nicholas Taylor and Robert Fletcher. Their collaborative efforts contribute to the innovative environment at Maplebear Inc.

Conclusion

Pedro Tanure Veloso exemplifies the spirit of innovation in the tech industry. His contributions through his patent and work at Maplebear Inc. highlight the potential of machine learning in transforming online retail.

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