Aurora, IL, United States of America

Sanjay Bodhu

USPTO Granted Patents = 1 

Average Co-Inventor Count = 24.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Sanjay Bodhu

Introduction

Sanjay Bodhu is an accomplished inventor based in Aurora, IL (US). He has made significant contributions to the field of machine learning and model management systems. His innovative approach focuses on improving training data for more effective visual inspection.

Latest Patents

Sanjay holds a patent for a "Model management system for improving training data through machine learning deployment." This system adaptively refines a training dataset to enhance the performance of machine learning models. It trains a model using an initial dataset and deploys it to a client. The deployment generates outputs that are sent back to the system for analysis. The system identifies inadequate predictions for noisy data points and determines the cause of failure by mapping these points to a distribution generated for the training dataset. By refining the training dataset based on identified causes of failure, the system retrains the model and sends it back for redeployment. This innovative process ensures continuous improvement in model accuracy.

Career Highlights

Sanjay is currently employed at Landing AI, where he continues to push the boundaries of machine learning technology. His work has been instrumental in developing systems that enhance the efficiency and effectiveness of visual inspection processes.

Collaborations

Sanjay collaborates with talented individuals such as Daniel Bibireata and Andrew Yan-Tak Ng. Their combined expertise fosters an environment of innovation and creativity, leading to groundbreaking advancements in their field.

Conclusion

Sanjay Bodhu's contributions to machine learning and model management systems exemplify the spirit of innovation. His work not only enhances the capabilities of visual inspection but also sets a precedent for future advancements in the field.

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