This inventor holds 3 USPTO granted patents and 6 published patent applications. Top assignee: Truist Bank. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Nishank Jain: Inventor Advancing AI-Driven Financial Workflows.
Introduction
Nishank Jain is an inventor based in Atlanta, Georgia, whose patent work explores the use of machine learning and artificial intelligence to improve interactions between computing systems and streamline organizational workflows. He works at Truist Bank and is named on 3 patents.
Latest Patents
Jain’s recent patent work includes “Applying Machine Learning to Handling Interactions Between Computing Systems.” The invention describes using account usage data and a machine-learning model to assess patterns of behavior in interactions between computing systems. Based on historical interaction data from multiple accounts, the system can recommend an adjustment intended to improve a pattern’s score. A user can select the adjustment through an interface, after which the system can configure itself to carry out the interaction accordingly.
Another patent, “Artificial Intelligence (AI)-Driven Standardized Intake Tool,” describes processing an intake request with multiple computational models. The resulting information and a machine-learning model can be used to predict workflow actions and update tools associated with an entity, initiating a workflow to incorporate the intake request’s target.
Career Highlights
Jain’s inventions focus on applying AI and machine learning to practical processes, including account interactions and standardized intake workflows. His work at Truist Bank provides a professional context for these technology-focused contributions.
Collaborations
Jain is identified as a coworker of Christopher Alan Wix. Their shared professional connection is noted alongside Jain’s work at Truist Bank.
Conclusion
Nishank Jain’s patent portfolio highlights the use of AI and machine learning to make computing interactions and organizational workflows more adaptive and efficient.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
