This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Landing Ai. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Mind of Sanjay Boddhu
Introduction
Sanjay Boddhu is a notable inventor based in Aurora, Illinois. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the accuracy and efficiency of deep learning models.
Latest Patents
Sanjay holds a patent for a "Guided workflow for deep learning error analysis." This invention involves a model management system that performs error analysis on results predicted by a machine learning model. The system identifies incorrectly classified images and utilizes the Neural Template Matching (NTM) algorithm to find additional correlated images. It outputs these correlated images based on user-defined regions of interest (ROI) and prompts tasks associated with the additional images. The system also allows for retraining the machine learning model using updated training datasets that include replacement labels.
Career Highlights
Sanjay Boddhu is currently employed at Landing AI, where he continues to develop innovative solutions in the realm of artificial intelligence. His work is instrumental in advancing the capabilities of machine learning technologies.
Collaborations
Sanjay collaborates with talented individuals such as Mark William Sabini and Kai Yang, contributing to a dynamic and innovative work environment.
Conclusion
Sanjay Boddhu's contributions to deep learning and machine learning error analysis exemplify the impact of innovative thinking in technology. His patent and ongoing work at Landing AI highlight his commitment to advancing the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile