Fremont, CA, United States of America

Chirag Tayal


Average Co-Inventor Count = 3.3

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2022

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3 patents (USPTO):Explore Patents

Title: Innovator Profile: Chirag Tayal from Fremont, CA

Introduction: Chirag Tayal is an accomplished inventor based in Fremont, California, with a notable contribution to the field of machine learning and computing technology. With a total of three patents to his name, he is recognized for his innovative approaches that enhance workload scheduling in computing environments.

Latest Patents: One of Chirag Tayal's latest patents is centered around a groundbreaking system and method for applying machine learning algorithms to compute health scores for workload scheduling. This method involves several key steps: collecting temporal statistics for a port element and a switch element within a computing environment, and also gathering statistics for the environment generally. By computing a spatial correlation between various network features and elements, the invention calculates dynamic weights for both the port and switch elements. These weights are pivotal for efficiently scheduling workloads, ensuring optimal resource consumption within the computing environment.

Career Highlights: Chirag currently works at Cisco Technology, Inc., where he utilizes his expertise in machine learning to drive innovations that improve network performance and efficiency. His role involves researching cutting-edge technologies that contribute to the robustness of computing systems.

Collaborations: Throughout his career, Chirag Tayal has collaborated with talented individuals like Esha Desai and Paddu Krishnan. Their collective efforts in Cisco Technology, Inc. showcase a dynamic team dedicated to pushing the boundaries of technological advancements in the computing realm.

Conclusion: As an inventor, Chirag Tayal continues to make significant strides in the field of technology with his patented innovations. His work at Cisco Technology, Inc. and collaboration with other professionals underscore his commitment to enhancing computing environments through machine learning, leaving a lasting impact on the industry.

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