Mumbai, India

Paras Dwivedi


Average Co-Inventor Count = 8.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Innovations by Paras Dwivedi

Introduction

Paras Dwivedi is an accomplished inventor based in Mumbai, India. He has made significant contributions to the field of data generation and subject identification through his innovative patents. With a total of two patents to his name, Dwivedi is recognized for his unique approaches to technology.

Latest Patents

His latest patents include "Systems and methods for multi-utterance generation of data with immutability regulation and punctuation-memory." This patent relates to systems and methods for generating contextually relevant utterances while maintaining punctuation consistency. The framework he developed is capable of producing multiple syntactically and semantically correct utterances from text input data, allowing for selective regulation of phrases or words.

Another notable patent is the "System and method for statistical subject identification from input data." This invention provides a comprehensive system for identifying subjects from various forms of input, including texts, videos, audios, and images. The system preprocesses the input data, generates n-grams, and computes frequency distributions to identify subjects based on a pre-annotated mapping dictionary.

Career Highlights

Paras Dwivedi is currently employed at Tata Consultancy Services Limited, where he continues to innovate and contribute to the field of technology. His work focuses on enhancing data processing and analysis through advanced methodologies.

Collaborations

Some of his notable coworkers include Nidhi Harshad Shroff and Siva Prasad Pusarla, who collaborate with him on various projects within the company.

Conclusion

Paras Dwivedi's contributions to the field of data generation and subject identification highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of complex systems and a commitment to improving data processing methodologies.

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