Milpitas, CA, United States of America

Leela Seshu Reddy Cheedepudi

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: Leela Seshu Reddy Cheedepudi: Innovator in Machine Learning

Introduction

Leela Seshu Reddy Cheedepudi is a notable inventor based in Milpitas, California. He has made significant contributions to the field of machine learning, particularly in the area of model management systems. His innovative approach aims to enhance the effectiveness of training data for visual inspection tasks.

Latest Patents

Leela holds a patent for a "Model management system for improving training data through machine learning deployment." This system adaptively refines a training dataset to ensure more effective visual inspection. It trains a machine learning model using an initial dataset and deploys the trained model to a client. The deployment generates outputs that are sent back to the system, which evaluates the performance of predictions for noisy data points. The system identifies causes of failure based on the mapping of noisy data points to a distribution generated for the training dataset across multiple dimensions. It then refines the training dataset based on the identified causes of failure and retrains the machine learning model before sending it back to the client for redeployment.

Career Highlights

Leela is currently employed at Landing AI, where he continues to develop innovative solutions in machine learning. His work focuses on improving the efficiency and accuracy of machine learning models, which is crucial for various applications in visual inspection.

Collaborations

Leela collaborates with talented individuals such as Daniel Bibireata and Andrew Yan-Tak Ng, contributing to a dynamic work environment that fosters innovation and creativity.

Conclusion

Leela Seshu Reddy Cheedepudi is a pioneering inventor whose work in machine learning is making a significant impact in the field. His innovative patent demonstrates his commitment to enhancing training data management and improving visual inspection processes.

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