This inventor holds 2 USPTO granted patents. Top assignees: Hewlett Packard Enterprise Development LP, Juniper Networks, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2026
Title: The Innovative Mind of Sarath Gollapudi
Introduction
Sarath Gollapudi is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning and forecasting through his innovative patent. His work exemplifies the intersection of technology and practical applications, showcasing his expertise in data analysis and predictive modeling.
Latest Patents
Sarath Gollapudi holds a patent titled "Accuracy of multivariate approach for time-series based forecasting." This invention involves a monitoring device that obtains multiple time-series data streams associated with various resources. The device generates multi-step forecast values using several machine learning models. It determines a set of particular multi-step forecast values based on these forecasts, which can trigger specific actions. Additionally, the device can identify correlations between different resources based on the data streams and forecast values. This patent highlights his innovative approach to enhancing forecasting accuracy through advanced technology.
Career Highlights
Sarath Gollapudi is currently employed at Juniper Networks, Inc., where he applies his skills in machine learning and data analysis. His work at Juniper Networks focuses on developing solutions that leverage data for improved decision-making and resource management. His contributions have been instrumental in advancing the company's technological capabilities.
Collaborations
Some of Sarath's coworkers include Sabyasachi Mukhopadhyay and Rakshith N. Their collaboration fosters a creative environment that encourages innovation and the development of cutting-edge solutions.
Conclusion
Sarath Gollapudi's contributions to the field of machine learning and forecasting are noteworthy. His patent demonstrates his ability to apply complex algorithms to real-world problems, making a significant impact in his field. His work continues to inspire others in the realm of technology and innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile