Moscow, Russia

Evgenii Shabalin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Evgenii Shabalin: Innovator in Conversational AI

Introduction

Evgenii Shabalin is a prominent inventor based in Moscow, Russia. He has made significant contributions to the field of conversational AI, particularly through his innovative patent. His work focuses on enhancing the interaction between humans and machines, making communication more seamless and effective.

Latest Patents

Evgenii holds a patent for "Hybrid language models for conversational AI systems and applications." This patent describes a method where first textual data is applied to a first machine learning model (MLM) to generate an intermediate speech representation. The intermediate audio representation and a second MLM are then used to produce output data indicating second textual data. The parameters of the second MLM are updated using the output data and ground truth data associated with the first textual data. The first MLM includes a trained Text-To-Speech (TTS) model, while the second MLM comprises an Automatic Speech Recognition (ASR) model. Additionally, a generator from generative adversarial networks is utilized to enhance the initial intermediate audio representation generated by the first MLM.

Career Highlights

Evgenii Shabalin is currently employed at Nvidia Corporation, a leading technology company known for its advancements in AI and graphics processing. His role at Nvidia allows him to work on cutting-edge technologies that push the boundaries of what is possible in AI.

Collaborations

Evgenii collaborates with talented individuals such as Vladimir Bataev and Roman Korostik. These partnerships foster an environment of innovation and creativity, contributing to the development of advanced AI solutions.

Conclusion

Evgenii Shabalin is a key figure in the realm of conversational AI, with a patent that showcases his innovative approach to language models. His work at Nvidia Corporation and collaborations with other experts highlight his commitment to advancing technology in meaningful ways.

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