Sanjiv Ranjan Das

Title: Sanjiv Ranjan Das: Innovator in Machine Learning and Natural Language Processing

Introduction

Sanjiv Ranjan Das is a prominent inventor based in San Jose, California. He has made significant contributions to the fields of machine learning (ML) and natural language processing (NLP). With a total of two patents to his name, his work focuses on enhancing the efficiency and accuracy of ML models.

Latest Patents

Sanjiv's latest patents include innovative techniques for developing domain-specific language models. One of his techniques enables the creation of a clean training dataset through just a few API calls. Another technique automates the process of generating a domain-specific lexicon, which is then utilized to create ML training datasets with minimal human intervention. Additionally, he has developed a method for gathering ML training data from domain-specific public sources, ensuring that the terminology used is focused and free from errors. This results in trained ML models that provide more accurate inferences. His second patent involves generating global explanations of machine learning model predictions for input containing text attributes. This process includes identifying groups of related tokens from text attributes and generating record-level prediction influence scores for these token groups.

Career Highlights

Sanjiv Ranjan Das is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of innovation in technology. His work has been instrumental in advancing the capabilities of machine learning applications.

Collaborations

Sanjiv has collaborated with notable colleagues, including Cedric Philippe Archambeau and Michele Donini, contributing to a dynamic and innovative work environment.

Conclusion

Sanjiv Ranjan Das exemplifies the spirit of innovation in the tech industry, particularly in machine learning and natural language processing. His patents reflect a commitment to improving the efficiency and accuracy of ML models, making significant strides in the field.