This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Paras Mehra in Machine Learning
Introduction
Paras Mehra is an accomplished inventor based in Oakland, CA. He has made significant contributions to the field of machine learning, particularly in the area of access restrictions for fine-tuning models. His innovative approach addresses the complexities of ensuring that both provider and consumer access restrictions are respected during the fine-tuning process.
Latest Patents
Paras Mehra holds a patent titled "Enforcing access restrictions for fine-tuning machine learning models." This patent outlines a method for enforcing access restrictions when fine-tuning a machine learning model. The process involves receiving a request to fine-tune the model, which may be subject to provider access restrictions. Additionally, the tuning data may be subject to consumer access restrictions. The fine-tuning process ensures compliance with both sets of restrictions, resulting in a tuned set of weights that can be combined with the trained model's weights for accurate inferences.
Career Highlights
Paras Mehra is currently employed at Amazon Technologies, Inc., where he continues to innovate in the field of machine learning. His work focuses on enhancing the capabilities of machine learning models while ensuring compliance with access restrictions. His contributions have been instrumental in advancing the technology used in various applications.
Collaborations
Paras collaborates with fellow inventor Arun Babu Nagarajan, working together to push the boundaries of machine learning technology. Their combined expertise fosters an environment of innovation and creativity.
Conclusion
Paras Mehra's work in enforcing access restrictions for machine learning models represents a significant advancement in the field. His patent and ongoing contributions at Amazon Technologies, Inc. highlight his commitment to innovation and excellence in technology.
