This inventor holds 1 USPTO granted patent. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: Ameet Vijay Joshi: Innovator in Machine-Based Predictive Models
Introduction
Ameet Vijay Joshi is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning and predictive modeling. His innovative work has led to the development of a unique patent that enhances the generation, validation, and deployment of machine-based predictive models.
Latest Patents
Ameet holds a patent titled "Enhanced pipeline for the generation, validation, and deployment of machine-based predictive models." This patent describes a sophisticated pipeline that analyzes records to generate a graph indicating various relationships between the records. The pipeline allows users to select a data element of interest (DEOI) and predicts values for the DEOI based on input records that do not include values for the DEOI. The system is designed to automatically train, validate, and deploy predictive models based on relevant records and user-defined outcomes. Ameet has 1 patent to his name.
Career Highlights
Ameet Vijay Joshi is currently employed at Microsoft Technology Licensing, LLC. His role involves leveraging his expertise in machine learning to develop innovative solutions that enhance predictive modeling capabilities. His work is instrumental in advancing the technology used in various applications across industries.
Collaborations
Ameet has collaborated with talented individuals such as Santosh Chandwani and Amit Martu Kamat. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Ameet Vijay Joshi is a distinguished inventor whose work in machine-based predictive models has made a significant impact in the field. His contributions continue to shape the future of technology and innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
