Toronto, Canada

Evgene Vahlis

USPTO Granted Patents = 2 

 

Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2023-2025

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2 patents (USPTO):Explore Patents

Title: Evgene Vahlis: Innovator in Artificial Intelligence and Financial Predictive Modeling

Introduction

Evgene Vahlis is a notable inventor based in Toronto, Canada, recognized for his contributions to artificial intelligence and financial predictive modeling. With two patents to his name, Vahlis has developed innovative methods that leverage AI to enhance financial decision-making processes.

Latest Patents

Vahlis's latest patents focus on artificial intelligence modeling to predict electronic account data. The disclosed methods and systems describe a server that utilizes AI modeling to predict negative cash flow at a user level. The server periodically retrieves data associated with the user, including monetary attributes linked to one or more accounts. It executes a deep neural network model trained on historical data to predict negative cash flow, its depth, and duration. When the second server determines that the likelihood of account needs meets a certain threshold, it establishes an electronic communication session with the user's device and trains the deep neural network during this session.

Career Highlights

Throughout his career, Vahlis has worked with prominent companies such as the Bank of Montreal and Nymi Inc. His experience in these organizations has contributed to his expertise in financial technologies and artificial intelligence applications.

Collaborations

Vahlis has collaborated with talented individuals, including Seyed Masoud Nosrati and Seyed Hamed Yaghoubi Shahir. These partnerships have fostered innovation and development in his projects.

Conclusion

Evgene Vahlis stands out as an inventor who is making significant strides in the field of artificial intelligence and financial predictive modeling. His work continues to influence the way financial data is analyzed and utilized for better decision-making.

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