This inventor holds 1 USPTO granted patent and 2 published patent applications. Top assignee: International Business Machines Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Neerju Gupta: Innovator in Machine Learning Governance
Introduction
Neerju Gupta is a prominent inventor based in Chelmsford, MA (US). He has made significant contributions to the field of machine learning, particularly in the area of model governance. His innovative approach focuses on detecting and rectifying model drift, which is crucial for maintaining the accuracy and reliability of machine learning systems.
Latest Patents
Neerju Gupta holds a patent titled "Detecting and rectifying model drift using governance." This invention provides an embodiment for monitoring machine learning models to detect and rectify model drift through governance mechanisms. The system is designed to receive multiple machine learning models and register them to a governance dashboard. It automatically monitors these models to identify the factors used by each and generates clusters of similar models. Furthermore, it can detect incorrect decisions made by a target model and calculate correlation scores with models in the same cluster. If a correlation score exceeds a certain threshold, the system outputs a cluster reinforcement recommendation. Neerju Gupta has 1 patent to his name.
Career Highlights
Neerju Gupta is associated with International Business Machines Corporation, commonly known as IBM. His work at IBM has allowed him to explore and develop innovative solutions in the realm of artificial intelligence and machine learning. His expertise in model governance has positioned him as a valuable asset in the tech industry.
Collaborations
Neerju Gupta has collaborated with notable colleagues such as Yannick Saillet and Namit Kabra. These collaborations have further enriched his work and contributed to advancements in machine learning technologies.
Conclusion
Neerju Gupta is a key figure in the innovation of machine learning governance. His patent on detecting and rectifying model drift showcases his commitment to enhancing the reliability of machine learning systems. His contributions continue to influence the field and pave the way for future advancements.