This inventor holds 2 USPTO granted patents and 4 published patent applications. Top assignee: Adobe, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Andrei Zugravu: Innovator in Data Question Answering Technologies
Introduction
Andrei Zugravu is a notable inventor based in Bucharest, Romania. He has made significant contributions to the field of data question answering, particularly through his innovative patent. His work focuses on enhancing the efficiency of querying data sets using natural language inputs.
Latest Patents
Andrei Zugravu holds a patent titled "Data question answering with auxiliary recommendations." This patent describes techniques that enable efficient querying of data sets for answers to data questions based on natural language input. The processing device involved in this innovation is designed to receive a natural language input, determine an additional query based on the context, and utilize a machine-learning model to generate results. The results include a quantitative answer, an additional answer based on the auxiliary query, and an explanation of how the machine-learning model arrived at these answers. This technology aims to improve user interaction with data through a more intuitive querying process.
Career Highlights
Andrei Zugravu is currently employed at Adobe Inc., where he continues to develop and refine his innovative ideas. His work at Adobe allows him to collaborate with other talented professionals in the tech industry, further enhancing his contributions to data processing technologies.
Collaborations
Some of Andrei's notable coworkers include Iftikhar Ahamath Burhanuddin and Xiang Chen. Their collaboration fosters a creative environment that encourages the development of cutting-edge technologies in data question answering.
Conclusion
Andrei Zugravu's contributions to the field of data question answering exemplify the impact of innovative thinking in technology. His patent and work at Adobe Inc. highlight the importance of efficient data querying methods in today's data-driven world.
