Riddhiman Das

Title: Riddhiman DAS: Innovator in Privacy-Preserving Technologies

Introduction

Riddhiman DAS, an accomplished inventor based in Parkville, Missouri, stands out in the field of technology with a remarkable portfolio of six patents. His innovative work focuses on the intersection of data privacy and machine learning, contributing significantly to decentralized recommendation systems and data encryption methodologies.

Latest Patents

Riddhiman DAS has made notable strides with his latest patents, which include:

1. **Systems and methods for privacy preserving training and inference of decentralized recommendation systems from decentralized data** - This patent describes a system and method for training a recommendation system. The process involves initiating an item-vector matrix at a server device, transmitting it to client devices, training local matrix factorization models, and securely updating the item-vector matrix based on gradients from each client device.

2. **Systems and methods for encrypting data and algorithms** - This innovation presents methods and computer-readable media for ensuring privacy for both data and the algorithms that operate on it. It includes dividing algorithms and data into subsets, processing them separately, and then combining results to maintain confidentiality.

Career Highlights

Throughout his career, Riddhiman DAS has been associated with companies that emphasize cutting-edge technology. Notably, he has worked at TripleBlind, Inc. and TripleBlind Holding Company, where he contributed his expertise to the development of advanced privacy-preserving solutions.

Collaborations

Riddhiman has collaborated with fellow innovator Babak Poorebrahim Gilkalaye, enhancing his work through teamwork and shared insights in the realm of privacy and data protection technologies.

Conclusion

Through his inventive approaches and significant contributions, Riddhiman DAS continues to forge a path in the tech industry focused on enhancing privacy and security for individuals and organizations alike. His patents reflect a forward-thinking mindset aimed at tackling the challenges of data privacy in increasingly decentralized environments.