San Jose, CA, United States of America

Amey Kulkarni

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Nvidia Corporation. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Amey Kulkarni. Retrieved from https://idiyas.com/inventor/amey-kulkarni-gbi8duds

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank
USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Amey Kulkarni: Innovator in Machine Learning and 3D Scene Reconstruction

Introduction

Amey Kulkarni is a prominent inventor based in San Jose, CA, specializing in machine learning and 3D scene reconstruction technologies. He has made significant contributions to the field, evidenced by his two patents that focus on innovative techniques for enhancing machine learning models.

Latest Patents

Kulkarni's latest patents include "Techniques for fine-tuning a machine learning model to reconstruct a three-dimensional scene" and "Techniques for training a machine learning model to reconstruct different three-dimensional scenes." The first patent describes a scene reconstruction model that generates 3D representations from RGBD images, computing a feature grid and modifying it based on reconstruction loss. The second patent outlines a training application that maps depth images and RGB images to generate 3D representations, utilizing signed distance function values and radiance values to improve the model's accuracy.

Career Highlights

Amey Kulkarni is currently employed at Nvidia Corporation, a leading company in graphics processing and AI technology. His work at Nvidia focuses on advancing machine learning applications, particularly in the realm of 3D modeling and scene reconstruction.

Collaborations

Kulkarni collaborates with talented individuals such as Sifei Liu and Xueting Li, contributing to a dynamic team that drives innovation in machine learning technologies.

Conclusion

Amey Kulkarni's work in machine learning and 3D scene reconstruction showcases his innovative spirit and dedication to advancing technology. His contributions are paving the way for future developments in the field.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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