Berkeley, CA, United States of America

Immanuel David Buder

USPTO Granted Patents = 1 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2024

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Immanuel David Buder: Innovator in Time Series Data Processing

Introduction

Immanuel David Buder is a notable inventor based in Berkeley, California. He has made significant contributions to the field of data processing, particularly in the area of time series data. His innovative approach has led to the development of a unique patent that enhances the efficiency of data processing systems.

Latest Patents

Immanuel holds a patent for a "Hybrid model for time series data processing." This patent discloses systems and methods for switching between batch processing and real-time processing of time series data. The system is designed to seamlessly transition between a batch processing module and a real-time processing module, allowing for optimal data handling. An orchestration service is included to determine when to switch, based on identified switching events in the incoming time series data. This innovative approach ensures that both processing modules can deliver similar accuracy in their outputs.

Career Highlights

Immanuel is currently employed at Intuit, Inc., where he applies his expertise in data processing to develop advanced solutions. His work at Intuit has positioned him as a key player in the company's innovation efforts, particularly in enhancing the capabilities of their data processing systems.

Collaborations

Immanuel collaborates with Shashank Shashikant Rao, leveraging their combined expertise to drive innovation in their projects. Their partnership exemplifies the collaborative spirit that is essential in the field of technology and innovation.

Conclusion

Immanuel David Buder is a pioneering inventor whose work in time series data processing is making a significant impact in the industry. His patent and contributions at Intuit, Inc. highlight his commitment to advancing technology and improving data processing methodologies.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…