Udit Saini

Title: Udit Saini and His Patent in Machine Learning Data Transformation.

Introduction

Udit Saini is an inventor associated with UnitedHealth Group Incorporated and based in Uttarakhand, India. His patent work concerns using machine learning to transform disparate third-party datasets into standardized, canonical representations.

Latest Patents

Saini is credited with 1 patent: “Canonical Transformations Using Machine Learning Language Model.” The disclosed techniques use a machine learning prediction model to generate a canonical representation for an input dataset. The model is trained with permutative input embeddings based on canonical data entity features, allowing different feature sequences to inform a latent representation. That representation is combined with a canonical data map to create an alignment vector, which is refined into an output vector. Training uses a loss based on comparing the output vector with a corresponding labeled vector.

Career Highlights

The patent reflects work on applying machine learning to data integration and standardization. Its approach is designed to align varied datasets with canonical structures, potentially supporting more consistent processing of information from different sources.

Collaborations

Sanjay Kumar Singh and Subhasis Jethy are identified as Saini’s coworkers. The available information does not specify their roles in the patent or the extent of their collaboration.

Conclusion

Udit Saini’s patent highlights a machine learning approach to transforming disparate datasets into canonical representations, connecting his inventive work with data standardization at UnitedHealth Group Incorporated.