Wideet Shende

Title: Innovations of Wideet Shende

Introduction

Wideet Shende is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of technology, particularly in the area of scalable online systems. His innovative approach has led to the development of a unique patent that addresses challenges in item retrieval within embedding spaces.

Latest Patents

Wideet Shende holds a patent for a "Distributed approximate nearest neighbor service architecture for retrieving items in an embedding space." This online system maintains item embeddings for various items, and as the number of items increases, it becomes challenging to maintain a single index. To enhance scalability, the system partitions item embeddings into multiple indices, each corresponding to a specific attribute. For instance, it generates indices for different warehouses offering items. The system allocates each index to one of several shards to expedite retrieval. When a query is received, the system determines an embedding for the query and retrieves an index from a shard based on metadata. It then selects one or more items based on the distances between the query embedding and the item embeddings in the retrieved index.

Career Highlights

Wideet Shende is currently employed at Maplebear Inc., where he continues to innovate and develop cutting-edge technologies. His work has been instrumental in advancing the capabilities of online systems in managing and retrieving data efficiently.

Collaborations

Wideet has collaborated with notable colleagues, including Guanghua Shu and Taesik Na. Their combined expertise has contributed to the success of various projects and innovations within their field.

Conclusion

Wideet Shende's contributions to technology through his patent and work at Maplebear Inc. highlight his role as a significant innovator in the industry. His advancements in scalable online systems demonstrate the impact of his work on improving item retrieval processes.