Srikar Yekollu

Title: Srikar Yekollu: Innovator in Machine Learning Technologies

Introduction

Srikar Yekollu is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the field of machine learning, particularly in developing classification models and rule-based systems. With a total of 2 patents, Yekollu's work is paving the way for advancements in data classification and analysis.

Latest Patents

Yekollu's latest patents include a "System and method for generating a classification model with a cost function having different penalties for false positives and false negatives." This invention describes a system that performs machine learning operations on known duplicates and non-duplicates to create a classification model. The model classifies structured data items as either duplicates or non-duplicates, utilizing a cost function that treats false positive and false negative misclassifications differently. Another notable patent is the "System and method for seeding rule-based machine learning models." This invention focuses on generating a set of seed rules from previously performed machine learning operations and applying them to identify specific relationships between information items, such as duplicates.

Career Highlights

Srikar Yekollu is currently employed at Amazon Technologies, Inc., where he continues to innovate in the realm of machine learning. His work is instrumental in enhancing the efficiency and accuracy of data classification processes.

Collaborations

Yekollu collaborates with talented individuals such as Madhu Madhava Kurup and Jue Wang, contributing to a dynamic and innovative work environment.

Conclusion

Srikar Yekollu's contributions to machine learning and data classification are noteworthy. His patents reflect a deep understanding of the complexities involved in data analysis and classification. Through his work at Amazon Technologies, he is making a lasting impact on the field.