BLAINVILLE, Canada

Jimmy Lévesque

This inventor holds 2 USPTO granted patents. Top assignee: The Toronto-Dominion Bank. Active years: 2025-2026.


% Patents Active = 50.0

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 16(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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2 patents (USPTO):Explore Patents

Title: Jimmy Lévesque: Innovator in Automated Data Processing for Vehicle Loss Detection

Introduction

Jimmy Lévesque is a notable inventor based in Blainville, Canada. He has made significant contributions to the field of automated data processing, particularly in the context of vehicle loss detection. His innovative approach utilizes machine learning to enhance the accuracy and efficiency of loss assessments.

Latest Patents

Lévesque holds a patent for "Systems and methods for automated data processing using machine learning for vehicle loss detection." This patent describes a sophisticated data processing system that incorporates multiple machine learning models. The system inputs a tiled image of a vehicle, which includes four different angle views combined into a single image. It predicts the likelihood of total loss for the vehicle by aggregating predictions from various models based on historical image data and tabular data related to the vehicle. This innovative method aims to streamline the vehicle loss detection process and improve accuracy.

Career Highlights

Jimmy Lévesque is currently employed at the Toronto-Dominion Bank, where he applies his expertise in data processing and machine learning. His work focuses on developing advanced systems that enhance operational efficiency and decision-making processes within the bank.

Collaborations

Lévesque collaborates with talented professionals such as Marc Poulin and Satya Krishna Gorti. These collaborations foster an environment of innovation and creativity, contributing to the development of cutting-edge solutions in the financial sector.

Conclusion

Jimmy Lévesque is a pioneering inventor whose work in automated data processing has the potential to transform vehicle loss detection. His contributions reflect a commitment to innovation and excellence in the field of machine learning.

Profile summary based on public USPTO records.
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