Issaquah, WA, United States of America

Arko P Mukherjee

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Arko P Mukherjee: Innovator in Self-Supervised Learning Systems

Introduction

Arko P Mukherjee is a notable inventor based in Issaquah, WA (US). He has made significant contributions to the field of machine learning, particularly in the development of systems that generate embeddings representing sequential human activity. His innovative work has the potential to enhance predictive modeling and customer experience across various applications.

Latest Patents

Arko holds a patent for a "Self-supervised system generating embeddings representing sequenced activity." This patent describes a system that utilizes self-supervised, deep learning models to generate embeddings that represent sequential human activities. The system is designed to create user-specific journeys based on human activity data, which can be sourced from various platforms, including customer data platforms. The embeddings are updated in real-time and can be fine-tuned using labeled data to improve the accuracy of predictive models, enabling the creation of product recommendations and predictions.

Career Highlights

Arko P Mukherjee is currently associated with Microsoft Technology Licensing, LLC, where he applies his expertise in machine learning and deep learning. His work focuses on developing advanced systems that leverage data to enhance user experiences and drive business insights. His innovative approach has positioned him as a key player in the field of technology and machine learning.

Collaborations

Arko has collaborated with talented individuals such as Mayank Shrivastava and Sagar Goyal. These collaborations have fostered an environment of innovation and creativity, contributing to the advancement of their projects and the development of cutting-edge technologies.

Conclusion

Arko P Mukherjee's contributions to the field of machine learning and his innovative patent demonstrate his commitment to advancing technology. His work not only enhances predictive modeling but also improves user experiences across various applications.

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