New York, NY, United States of America

Rushad Heerjee

USPTO Granted Patents = 1 

Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Rushad Heerjee: Innovator in Language Model-Based Data Extraction

Introduction

Rushad Heerjee is an accomplished inventor based in New York, NY (US). He has made significant contributions to the field of data extraction and visualization through his innovative patent. His work focuses on utilizing language models to enhance data processing and ontology management.

Latest Patents

Rushad holds a patent for a groundbreaking invention titled "Language model-based data object extraction and visualization." This patent describes computer-implemented systems and methods that leverage large language models (LLMs) for generating data objects and updating ontologies. The method involves generating data triples and classified triples, executing similarity searches against an ontology, and adding data objects to a database based on the results of these searches. This innovative approach streamlines the process of data management and enhances the accuracy of data representation.

Career Highlights

Rushad is currently employed at Palantir Technologies Inc., where he applies his expertise in language models and data extraction. His work at Palantir has positioned him as a key player in the development of advanced data processing technologies. With a focus on innovation, he continues to push the boundaries of what is possible in the realm of data visualization and ontology management.

Collaborations

Rushad collaborates with talented individuals such as Anirvan Mukherjee and Craig De Souza. These partnerships foster a creative environment that encourages the exchange of ideas and the development of cutting-edge solutions in the field of data science.

Conclusion

Rushad Heerjee is a notable inventor whose work in language model-based data extraction is paving the way for advancements in data management. His contributions are shaping the future of how data is processed and visualized, making a lasting impact in the industry.

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