This inventor holds 27 USPTO granted patents and 14 published patent applications, primarily in Natural Language Processing. Top assignee: Oracle International Corporation. Active years: 2024-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024-2026
Areas of Expertise:
Title: The Innovative Mind of Poorya Zaremoodi
Introduction
Poorya Zaremoodi is a prominent inventor based in Melbourne, Australia. He has made significant contributions to the field of machine learning, particularly in natural language processing. With a total of 27 patents to his name, Zaremoodi continues to push the boundaries of technology and innovation.
Latest Patents
Zaremoodi's latest patents showcase his expertise in enhancing machine learning models. One of his notable inventions is a method for calibrating confidence scores of a machine learning model trained as a natural language interface. This technique involves obtaining raw beam scores from a decoder and classifying logical forms as correct or incorrect based on these scores. Another significant patent focuses on data augmentation and batch balancing methods to improve negation and fairness in machine learning models. This method includes generating demographic word lists and rewriting unlabeled examples to create a fairness invariance data set for training.
Career Highlights
Poorya Zaremoodi is currently employed at Oracle International Corporation, where he applies his innovative ideas to real-world challenges. His work at Oracle has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.
Collaborations
Some of Zaremoodi's notable coworkers include Thanh Long Duong and Mark Edward Johnson. Their collaborative efforts have led to advancements in machine learning and natural language processing.
Conclusion
Poorya Zaremoodi is a remarkable inventor whose work in machine learning continues to influence the industry. His innovative patents and collaborations reflect his commitment to advancing technology and improving the capabilities of machine learning models.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
