This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Rohit Mittal: Innovator in Multimodal Machine Learning
Introduction
Rohit Mittal is a prominent inventor based in Short Hills, NJ (US). He has made significant contributions to the field of multimodal machine learning, particularly in the area of dimension reduction techniques.
Latest Patents
Rohit holds a patent titled "Dimension reduction for performing multimodal embedding searches." This innovative patent focuses on performing dimension reduction for multimodal embedding searches. The process begins with a request to perform a search using input data from a modality of a multimodal machine learning model. The input data is then encoded using the multimodal machine learning model to generate a first embedding that represents the input data. A machine learning dimension reduction technique is applied to this first embedding, resulting in a second embedding with a reduced number of dimensions. This second embedding is subsequently utilized to search an index of data objects, which are also generated using both the multimodal machine learning model and the machine learning dimension reduction technique. Rohit has 1 patent to his name.
Career Highlights
Rohit is currently employed at Amazon Technologies, Inc., where he continues to develop innovative solutions in machine learning. His work has positioned him as a key player in the advancement of technology in this field.
Collaborations
Rohit collaborates with talented individuals such as Rajshekhar Das and Hao Yang, contributing to a dynamic and innovative work environment.
Conclusion
Rohit Mittal's contributions to multimodal machine learning and his innovative patent demonstrate his expertise and commitment to advancing technology. His work at Amazon Technologies, Inc. continues to influence the field positively.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
