This inventor holds 2 USPTO granted patents and 8 published patent applications. Top assignee: Wells Fargo Bank, N.A.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Anjeet Kumar: Innovator in Machine Learning Pipeline Execution
Introduction
Anjeet Kumar is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, particularly in the development of automated model execution systems. His innovative approach has the potential to streamline processes in various applications of artificial intelligence.
Latest Patents
Anjeet Kumar holds a patent for "Systems and methods for universal machine learning pipeline execution." This patent encompasses systems, apparatuses, methods, and computer program products designed for automated model development. The method involves parsing a configuration file and generating model code for training and testing a machine learning model. It also includes creating a machine learning pipeline that integrates the model code and a data processing engine. Furthermore, a monitoring engine is instantiated to oversee the execution of the machine learning pipeline, generating model performance data throughout the process. The execution engine ultimately produces model output data, which includes a trained model and performance metrics.
Career Highlights
Anjeet Kumar is currently employed at Wells Fargo Bank, N.A., where he applies his expertise in machine learning and data processing. His work focuses on enhancing the efficiency and effectiveness of machine learning applications within the financial sector.
Collaborations
Anjeet collaborates with talented professionals such as Rameshchandra Bhaskar Ketharaju and Shuvam Sengupta. Their combined efforts contribute to the advancement of innovative solutions in their field.
Conclusion
Anjeet Kumar's contributions to machine learning and his patent for universal machine learning pipeline execution highlight his role as a forward-thinking inventor. His work not only enhances automated model development but also sets a foundation for future innovations in the industry.
