Tampa, FL, United States of America

Sourabh Deb

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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

Title: Innovator Spotlight: Sourabh Deb

Introduction

Sourabh Deb is an accomplished inventor based in Tampa, FL (US). He has made significant contributions to the field of artificial intelligence through his innovative patent. His work focuses on enhancing the efficiency of AI model selection, which is crucial in today's technology-driven world.

Latest Patents

Sourabh Deb holds a patent for a "Dynamic system resource-sensitive model software and hardware selection." This patent describes systems and methods that enable the dynamic selection of one or more AI models to generate an output in response to an input. The system receives an output generation request from a computing device, which includes an input for generating an output using one or more models from a plurality of models. It generates expected values for a set of output attributes and determines the capabilities of each model. The system then dynamically selects a subset of models and available system resources to process the input, ultimately generating the desired output.

Career Highlights

Sourabh is currently employed at Citibank, N.A., where he applies his expertise in AI and technology. His innovative approach to problem-solving has positioned him as a valuable asset in his field. With a focus on resource-sensitive model selection, he continues to push the boundaries of what is possible in AI.

Collaborations

Sourabh has collaborated with talented individuals such as Jason Ryan Engelbrecht and Zheyu Wang. These partnerships have fostered a creative environment that encourages innovation and the development of cutting-edge solutions.

Conclusion

Sourabh Deb's contributions to the field of artificial intelligence through his patent and work at Citibank highlight his role as a forward-thinking inventor. His dynamic approach to model selection is paving the way for more efficient AI systems.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…