Milpitas, CA, United States of America

Rajarshi Roy


Average Co-Inventor Count = 9.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Innovations by Rajarshi Roy in Data Path Circuit Design

Introduction

Rajarshi Roy is an accomplished inventor based in Milpitas, CA. He has made significant contributions to the field of data path circuit design, particularly through the application of machine learning techniques. His innovative approach aims to enhance the efficiency and performance of circuit designs.

Latest Patents

Rajarshi Roy holds a patent for a groundbreaking invention titled "Data path circuit design using reinforcement learning." This patent describes apparatuses, systems, and techniques for designing a data path circuit, such as a parallel prefix circuit, utilizing reinforcement learning. The method involves receiving a first design state of a data path circuit, inputting this state into a machine learning model, and performing reinforcement learning to output a final design state. This final design state is characterized by reduced area, power consumption, and delay compared to conventionally designed data path circuits. He has 1 patent to his name.

Career Highlights

Rajarshi Roy is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia focuses on integrating machine learning into circuit design, which is pivotal for the development of more efficient electronic systems.

Collaborations

Rajarshi collaborates with notable colleagues, including Saad Godil and Jonathan Raiman. Their combined expertise contributes to the innovative projects at Nvidia, pushing the boundaries of technology in circuit design.

Conclusion

Rajarshi Roy's contributions to data path circuit design through reinforcement learning exemplify the intersection of machine learning and electrical engineering. His work not only enhances circuit efficiency but also sets a precedent for future innovations in the field.

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