This inventor holds 1 USPTO granted patent and 10 published patent applications. Top assignee: Qualcomm Incorporated. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Raghavv Goel - Innovator in Machine Learning Technologies
Introduction
Raghavv Goel is a prominent inventor based in San Diego, California. He has made significant contributions to the field of machine learning, particularly in the area of efficient caching techniques. His innovative approach has garnered attention in the tech community, showcasing his expertise and dedication to advancing technology.
Latest Patents
Raghavv Goel holds a patent titled "Efficient machine learning caching via attention output-based token eviction." This patent outlines techniques and apparatus for machine learning. In his method, an input prompt comprising a set of tokens is accessed as input to a generative machine learning model. A first key tensor and a first value tensor are generated for a first token of the set of tokens, and these tensors are stored in memory. A first retention score is generated for the first token based on the first key tensor, the first value tensor, and a second token of the set of tokens. The first key tensor and the first value tensor are evicted from memory when it is determined that the first retention score is the lowest retention score of the memory. Raghavv has 1 patent to his name.
Career Highlights
Raghavv Goel is currently employed at Qualcomm Incorporated, a leading company in the telecommunications and semiconductor industry. His work at Qualcomm allows him to apply his innovative ideas in a practical setting, contributing to the development of cutting-edge technologies.
Collaborations
Raghavv has collaborated with notable colleagues such as Mukul Gagrani and Junyoung Park. These collaborations have further enriched his work and have led to advancements in their respective fields.
Conclusion
Raghavv Goel is a talented inventor whose work in machine learning is paving the way for future innovations. His patent on efficient caching techniques demonstrates his commitment to enhancing technology. His contributions are sure to have a lasting impact on the industry.