Robin Baldeo

Title: Robin Baldeo: Machine Learning for Risk Management

Introduction

Robin Baldeo is an inventor based in Charlotte, North Carolina. His patent work focuses on applying machine learning to risk management, particularly by identifying issues that may require corrective action before validation failures or due-date changes occur. He is associated with Wells Fargo Bank, N.A. and holds 2 patents.

Latest Patents

Baldeo’s latest patents describe machine-learning systems that analyze issue data and generate early warnings for risk management teams.

“Early Warning for Issue Validation Failure Using Machine Learning Model” covers a computing system that receives issue data from a risk management system and predicts the probability that an issue’s resolution will fail validation within a fixed period. When the predicted risk exceeds a threshold, the system generates a warning. It also updates the machine-learning model using validation-failure outcomes.

“Early Warning for Issue Due Date Revision Using Machine Learning Model” describes a related system that predicts whether an issue’s resolution due date will need revision within a fixed period. The system generates a warning when the predicted risk exceeds a threshold and adjusts model parameters based on due-date revision outcomes.

Career Highlights

Baldeo’s patents address two practical challenges in managing organizational issues: anticipating failed validation and identifying deadlines likely to change. Both inventions use predictive risk scores and outcome-based model updates to support earlier intervention.

Collaborations

Baldeo is associated with Wells Fargo Bank, N.A. His listed coworkers include Xiangchen Huo and Jody Vandever.

Conclusion

Robin Baldeo’s patent portfolio applies machine learning to help risk management systems anticipate validation problems and due-date revisions, enabling earlier warnings and more informed follow-up.