San Jose, CA, United States of America

Vachik Shailesh Dave

This inventor holds 1 USPTO granted patent. Top assignee: Walmart Apollo, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Vachik Shailesh Dave. Retrieved from https://idiyas.com/inventor/vachik-shailesh-dave

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


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: Vachik Shailesh Dave: Innovator in Machine Learning

Introduction

Vachik Shailesh Dave is a prominent inventor based in San Jose, California. He has made significant contributions to the field of machine learning, particularly with his innovative approach to entity-aware multi-task learning. His work is characterized by a focus on enhancing user intent understanding through advanced algorithms.

Latest Patents

Vachik holds a patent for "Entity-aware multi-task machine learning." This patent involves a sophisticated process that includes obtaining a search query, retrieving entities using an entity retrieval model, and generating query embedding data through a neural network. The invention further extends to generating task prediction data for multiple tasks, each capturing different aspects of user intent associated with the search query. Ultimately, it aims to produce relevant search results based on this comprehensive analysis. He has 1 patent to his name.

Career Highlights

Vachik is currently employed at Walmart Apollo, LLC, where he continues to push the boundaries of machine learning applications. His work at Walmart Apollo focuses on integrating innovative technologies to improve user experiences and operational efficiencies.

Collaborations

One of his notable collaborators is Zhiyuan Peng, with whom he has worked on various projects related to machine learning and artificial intelligence.

Conclusion

Vachik Shailesh Dave is a key figure in the realm of machine learning, with a focus on entity-aware systems that enhance search functionalities. His contributions are paving the way for more intuitive and effective user interactions with technology.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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