This inventor holds 2 USPTO granted patents and 1 published patent application. Top assignee: Accenture Global Solutions Limited. Active years: 2025-2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025-2026
Title: Ninad Shashikant Kulkarni: Innovator in AI Dataset Analysis
Introduction
Ninad Shashikant Kulkarni is a prominent inventor based in Pune, India. He has made significant contributions to the field of artificial intelligence, particularly in the analysis and tuning of input datasets for foundation models. His innovative approach has garnered attention in the tech community.
Latest Patents
Ninad holds a patent titled "System and method for analyzing and tuning input dataset to a foundation model." This patent describes a method that includes receiving an input dataset from a user and determining a textual representation of the dataset on an n-gram data level. The process involves applying this representation to a trained artificial intelligence-based regression model to determine a model score. Furthermore, the method predicts bias and accuracy scores for the input dataset, generating a Prompt Inclusivity Index (PII) value that indicates the presence of bias data.
Career Highlights
Ninad is currently employed at Accenture Global Solutions Limited, where he applies his expertise in artificial intelligence and data analysis. His work focuses on enhancing the effectiveness of AI models through innovative dataset tuning techniques. His contributions have been instrumental in advancing the capabilities of AI systems.
Collaborations
Ninad collaborates with talented professionals such as Sarang Padmakar Joshi and Pradnya Desai. Together, they work on projects that push the boundaries of technology and innovation in the field of artificial intelligence.
Conclusion
Ninad Shashikant Kulkarni is a key figure in the realm of AI dataset analysis, with a patent that showcases his innovative methods. His work at Accenture and collaborations with skilled colleagues highlight his commitment to advancing technology. His contributions are paving the way for more effective and inclusive AI systems.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
