This inventor holds 3 USPTO granted patents. Top assignee: Google Inc.. Active years: 2015-2018.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2015-2018
Title: Innovations of Vrijendra Gokhale
Introduction
Vrijendra Gokhale is an accomplished inventor based in Cupertino, CA. He has made significant contributions to the field of technology, particularly in large-scale parallel processing systems. With a total of 3 patents, Gokhale's work has garnered attention for its innovative approaches to task instance analysis.
Latest Patents
One of Gokhale's latest patents focuses on identifying task instance outliers based on metric data in a large-scale parallel processing system. This method involves receiving metric data associated with the execution of multiple task instances. The process includes determining deviations in the metric data relative to overall deviations during various intervals. By combining deviation measurements that exceed a threshold, Gokhale's method ranks the combined deviation values for a subset of task instances, enhancing performance analysis.
Career Highlights
Gokhale is currently employed at Google Inc., where he continues to develop innovative solutions in technology. His expertise in analyzing task performance has positioned him as a valuable asset within the company. His work not only contributes to the efficiency of processing systems but also sets a foundation for future advancements in the field.
Collaborations
Throughout his career, Gokhale has collaborated with notable colleagues, including Robert B Hagmann and Xiao Meng Zhang. These partnerships have fostered a creative environment that encourages the exchange of ideas and innovative solutions.
Conclusion
Vrijendra Gokhale's contributions to technology through his patents and collaborations highlight his role as a leading inventor in the field. His innovative methods for analyzing task performance continue to influence advancements in large-scale processing systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
