Sourabh Kumar Bhattacharjee

Title: Sourabh Kumar Bhattacharjee: Innovator in Machine Learning-Based Denoising

Introduction

Sourabh Kumar Bhattacharjee is an inventor based in Delhi, India, whose patent work focuses on applying machine learning to data denoising. His listed patent describes techniques for reducing noise in input sequences using transformer models and other machine-learning components.

Latest Patents

Bhattacharjee is associated with 1 patent, titled “Machine learning techniques for denoising input sequences.” The invention describes methods, systems, apparatus, and computing devices for denoising data. Its approaches may use encoder and decoder transformer models, models for determining contextual relevance, machine-learning-based decision-making, and denoising decision gates.

Career Highlights

Bhattacharjee works at Optum, Inc. His patent reflects work at the intersection of machine learning and data processing, with a focus on improving the quality of input sequences through automated denoising techniques.

Collaborations

Ayan Sengupta and Amit Kumar are identified as Bhattacharjee’s coworkers. The available information does not specify their roles in the patent or whether they collaborated on the invention.

Conclusion

Sourabh Kumar Bhattacharjee’s patent on machine-learning techniques for denoising input sequences highlights his contribution to developing computational methods for cleaner data processing.