Redwood City, CA, United States of America

Nikan Chavoshi

USPTO Granted Patents = 1 

Average Co-Inventor Count = 9.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2024

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Nikan Chavoshi: Innovator in Automated Machine Learning

Introduction

Nikan Chavoshi is a prominent inventor based in Redwood City, CA. He has made significant contributions to the field of machine learning, particularly in the automation of processes related to time series datasets. His innovative approach has led to the development of a unique patent that enhances the efficiency of machine learning models.

Latest Patents

Nikan Chavoshi holds a patent for an "Automated machine learning pipeline for timeseries datasets utilizing point-based algorithms." This invention involves a computer that generates and evaluates various preprocessor configurations for a window preprocessor. The window preprocessor transforms a training timeseries dataset for a machine learning model. Each configuration is assessed, and the optimal preprocessor configuration is selected based on the scores calculated from the configuration-specific point-based dataset. This technology is particularly useful for real-time processing of live streaming timeseries data.

Career Highlights

Nikan Chavoshi is currently employed at Oracle International Corporation, where he continues to innovate and contribute to advancements in machine learning technologies. His work focuses on improving the efficiency and effectiveness of data processing in various applications.

Collaborations

Nikan collaborates with talented individuals such as Anatoly Yakovlev and Hesam Fathi Moghadam. Their combined expertise fosters a creative environment that drives innovation in their projects.

Conclusion

Nikan Chavoshi's contributions to automated machine learning represent a significant advancement in the field. His patent and ongoing work at Oracle International Corporation highlight his commitment to innovation and excellence in technology.

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