Toronto, Canada

Taha Amjad

This inventor holds 1 USPTO granted patent. Top assignee: Maplebear Inc.. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Taha Amjad - Innovator in Findability Technology

Introduction

Taha Amjad is a notable inventor based in Toronto, Canada. He has made significant contributions to the field of machine learning and item findability. His innovative approach has led to the development of a unique system that enhances the efficiency of locating items in physical spaces.

Latest Patents

Taha Amjad holds a patent for a groundbreaking invention titled "Computing item findability through a findability machine-learning model." This online concierge system utilizes a findability machine-learning model to predict the ease of finding items within a designated physical area. The model computes findability scores based on an item map that details the locations of items. It is trained using data from pickers who collect items to fulfill orders, generating training examples that include item data, item map data, and corresponding findability scores. Taha's patent represents a significant advancement in optimizing item retrieval processes.

Career Highlights

Taha Amjad is currently employed at Maplebear Inc., where he applies his expertise in machine learning to enhance operational efficiencies. His work focuses on developing innovative solutions that streamline item findability, making it easier for users to locate products in various environments.

Collaborations

Taha collaborates with talented individuals such as Amalia Rothschild-Keita and Brent Scheibelhut. Together, they work on projects that leverage machine learning to improve item retrieval systems.

Conclusion

Taha Amjad is a pioneering inventor whose work in findability technology is shaping the future of item retrieval systems. His contributions are paving the way for more efficient and user-friendly solutions in various industries.

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