Santa Clara, CA, United States of America

Girish Kathalagiri Somashekariah

USPTO Granted Patents = 7 

Average Co-Inventor Count = 3.5

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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7 patents (USPTO):Explore Patents

Title: Inventor Profile: Girish Kathalagiri Somashekariah

Introduction

Girish Kathalagiri Somashekariah is an innovative inventor based in Santa Clara, California. With a remarkable portfolio of seven patents, he has significantly contributed to advancements in machine learning and data processing technologies.

Latest Patents

Among his recent innovative solutions, Girish's patents include:

1. **Down-sampling of Negative Signals Used in Training Machine-Learned Models**: This invention introduces a method where skip logic is employed to downsample negative signals in a training dataset. By effectively managing the training data, it addresses the technical challenge of biasing machine-learning models towards negative cases.

2. **Activity-Based Inference of Title Preferences**: This patent describes a system that determines features and labels for title preferences in job seekers. By utilizing a machine learning model, it predicts job title preferences for candidates and stores these predictions for improved employment recommendations.

Career Highlights

Girish has worked with prominent organizations, including Microsoft Technology Licensing, LLC and Samsung SDS America, Inc. His role in these companies has enabled him to harness his skills in technology and innovation, allowing him to develop impactful solutions.

Collaborations

Throughout his career, Girish has collaborated with talented individuals, including Huichao Xue and Ye Yuan. These partnerships have fostered a stimulating environment that promotes creative breakthroughs in the tech field.

Conclusion

Girish Kathalagiri Somashekariah continues to make strides in the world of innovation with his patents and collaborative work. His contributions are shaping the future of machine learning and data utilization, solidifying his place as an influential inventor in the tech industry.

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