This inventor holds 1 USPTO granted patent and 3 published patent applications. Top assignee: Oracle International Corporation. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Innovations of Prashan Madumal in Machine Learning
Introduction
Prashan Madumal is an innovative inventor based in Melbourne, Australia. He has made significant contributions to the field of machine learning, particularly in the area of natural language processing. His work focuses on enhancing the efficiency and effectiveness of machine-learning models through advanced techniques.
Latest Patents
Prashan holds a patent titled "Form conversion using preference alignment training." This patent discloses techniques for automatically curating preference alignment training (PAT) data. The methods involve generating two distinct PAT datasets using trained large language models (LLMs). The first dataset is created through an execution-based data generation technique, while the second dataset is populated with synthetic data points generated by another trained LLM. Each data point in both datasets consists of a natural language query and corresponding executable and non-executable query language statements. The combination and filtering of these datasets aim to optimize training for machine-learning models, addressing weaknesses in generating query language statements responsive to natural language questions. Prashan has 1 patent to his name.
Career Highlights
Prashan is currently employed at Oracle International Corporation, where he continues to develop innovative solutions in the tech industry. His work at Oracle allows him to collaborate with other talented professionals and contribute to cutting-edge projects.
Collaborations
Prashan has worked alongside notable colleagues such as Thanh Tien Vu and Omid Mohamad Nezami. Their collaborative efforts have further advanced the research and development of machine-learning technologies.
Conclusion
Prashan Madumal's contributions to machine learning and natural language processing demonstrate his commitment to innovation in technology. His patent and work at Oracle highlight his role as a key player in the advancement of machine-learning applications.