Waterloo, Canada

Hootan Nakhost

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Google Inc.. Active years: 2026.

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Hootan Nakhost: Innovator in Natural Language Processing

Introduction

Hootan Nakhost is a prominent inventor based in Waterloo, Canada. He has made significant contributions to the field of natural language processing, particularly in the area of database query generation. His innovative work has the potential to transform how users interact with databases through natural language.

Latest Patents

Hootan Nakhost holds a patent for "In-context text-to-SQL with reduced labeled data." This patent encompasses methods, systems, and non-transitory computer-readable media designed to automatically generate database queries from natural language text. The technology leverages in-context learning to utilize zero-shot and few-shot adaptation capabilities of large language models (LLMs). The systems can consider database information, employ execution-based consistency decoding, and utilize a mixture of prompts and/or LLMs.

Career Highlights

Hootan Nakhost is currently employed at Google Inc., where he continues to push the boundaries of innovation in artificial intelligence and machine learning. His work is instrumental in developing more intuitive systems that bridge the gap between human language and machine understanding.

Collaborations

Hootan collaborates with talented individuals such as Rajarishi Sinha and Ruoxi Sun. Their combined expertise fosters an environment of creativity and innovation, leading to groundbreaking advancements in their respective fields.

Conclusion

Hootan Nakhost is a key figure in the realm of natural language processing, with a focus on enhancing database interactions through innovative technologies. His contributions are paving the way for more efficient and user-friendly systems in the future.

Profile summary based on public USPTO records.
Please report any incorrect information to [email protected]
Loading…