Company Filing History:
Years Active: 2014-2022
Title: Gauthaman Vasudevan: Innovator in Data Processing and KPI Discovery
Introduction
Gauthaman Vasudevan is an accomplished inventor based in Old Bridge, NJ (US). He holds 2 patents that showcase his expertise in statistical data processing and natural language processing. His innovative work has contributed significantly to the fields of data analysis and performance measurement.
Latest Patents
One of Gauthaman's latest patents is titled "System and method for automated key-performance-indicator discovery." This invention discloses various methods and systems for statistical data processing and natural language processing. In one embodiment, an intelligent, automated KPI-discovery method utilizes existing machine-learning algorithms and Natural Language Processing (NLP) to extract and construct key performance indicators.
Another notable patent is "Streaming and bulk data transfer transformation with context switching." This invention improves the processing of data streams, such as packet streams or flows, associated with data streaming. The method employs context switching that utilizes context history. For each data stream transformed through processing, a context is maintained that comprises state information, including a history that enables effective transformation of the data stream.
Career Highlights
Gauthaman has worked with several companies throughout his career, including Avlino Inc. and Exar Corporation. His experience in these organizations has allowed him to refine his skills and contribute to various innovative projects.
Collaborations
Gauthaman has collaborated with professionals in his field, including his coworker Hagay Orgil. These partnerships have fostered an environment of creativity and innovation, leading to the development of groundbreaking technologies.
Conclusion
Gauthaman Vasudevan is a notable inventor whose contributions to data processing and KPI discovery have made a significant impact in the industry. His patents reflect his commitment to advancing technology and improving data analysis methods.