This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Hewlett Packard Enterprise Development LP. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Milind B Desai: Innovator in Machine Learning
Introduction
Milind B Desai is a prominent inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in image classification. His innovative approach addresses critical challenges in managing data drift and outliers in machine learning models.
Latest Patents
Milind holds a patent titled "Managing data drift and outliers for machine learning models trained for image classification." This patent describes a system and method for updating a machine learning model. The method involves capturing reconstruction errors associated with the reconstruction of images by a pre-trained autoencoder. Data points representing these reconstruction errors are clustered using affinity propagation. A preference value used by the affinity propagation for determining similarity between the data points is dynamically set through linear regression. Outliers and data drifts are determined from clusters of the data points. The classification output of the machine learning model is associated with the outliers and the data drift, allowing for the refinement of the model over a device hosting a training environment. Milind has 1 patent to his name.
Career Highlights
Milind is currently employed at Hewlett Packard Enterprise Development LP, where he continues to innovate in the field of machine learning. His work focuses on enhancing the accuracy and reliability of machine learning models, which is crucial for various applications in technology.
Collaborations
Milind has collaborated with notable colleagues, including Krishnaprasad Lingadahalli Shastry and Sridhar Balachandriah. These collaborations have further enriched his work and contributed to advancements in machine learning technologies.
Conclusion
Milind B Desai is a key figure in the realm of machine learning, with a focus on improving image classification through innovative methods. His contributions are paving the way for more robust and efficient machine learning applications.