Pavithra Harsha

Title: The Innovative Mind of Pavithra Harsha

Introduction

Pavithra Harsha is a prominent inventor based in White Plains, NY (US). She has made significant contributions to the field of technology, particularly in machine learning and supply chain management. With a total of 16 patents to her name, her work continues to influence various industries.

Latest Patents

Pavithra's latest patents include groundbreaking innovations such as "Supply Chain Demand Uncensoring" and "Loss Augmentation for Predictive Modeling." The "Supply Chain Demand Uncensoring" patent describes a processor that estimates uncensored demand from historical supply chain data. This processor ingests historical data and converts it into a dataset of multiple time series corresponding to sales for different products, locations, and channels across various time points. It utilizes an uncensored demand estimation machine learning model, which is trained using optimization solver techniques for deep learning.

The "Loss Augmentation for Predictive Modeling" patent presents a machine learning system that incorporates arbitrary constraints into deep learning models. This system provides a set of penalty data points along with original training data points. It assigns penalties to each penalty data point and optimizes the machine learning model by solving an objective function based on both the original loss function and the penalty loss function. The optimized machine learning model is then derived from the solution of the objective function.

Career Highlights

Pavithra Harsha works at International Business Machines Corporation (IBM), where she applies her expertise in machine learning and data analysis. Her innovative approaches have garnered attention and respect within the tech community.

Collaborations

Some of her notable coworkers include Shivaram Subramanian and Ali Koc, who collaborate with her on various projects and initiatives.

Conclusion

Pavithra Harsha is a trailblazer in the field of technology, with her patents reflecting her innovative spirit and dedication to advancing machine learning applications. Her contributions continue to shape the future of supply chain management and predictive modeling.