This inventor holds 1 USPTO granted patent. Top assignee: Adobe, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Anjali Yadav: Innovator in Machine Learning
Introduction
Anjali Yadav is a prominent inventor based in Rajasthan, India. She has made significant contributions to the field of machine learning, particularly in the area of automated sample selection for data exploration. Her innovative approach has garnered attention in the tech community.
Latest Patents
Anjali holds a patent titled "Intent-aware learning for automated sample selection in interactive data exploration." This patent describes techniques that utilize a machine-learning model to select samples for queries within a dataset. The method involves receiving a query directed toward a dataset, where samples are available as down-sampled versions of the dataset. An agent, which includes a machine-learning model trained through intent-based reinforcement learning, selects the appropriate sample for the query. The query is then executed against the selected sample to produce a response.
Career Highlights
Anjali is currently employed at Adobe Inc., where she continues to develop her expertise in machine learning and data exploration. Her work at Adobe has allowed her to apply her innovative ideas in a practical setting, contributing to the company's advancements in technology.
Collaborations
Anjali collaborates with talented individuals such as Subrata Mitra and Yash Gadhia. These collaborations enhance her work and foster a creative environment for innovation.
Conclusion
Anjali Yadav is a trailblazer in the field of machine learning, with her patent showcasing her innovative spirit. Her contributions to automated sample selection are paving the way for advancements in data exploration.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
