This inventor holds 1 USPTO granted patent. Top assignee: The Boeing Company. Active years: 2025.
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
Title: Sarada P Mohapatra: Innovator in Machine Learning Pipelines
Introduction
Sarada P Mohapatra is a notable inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on architecting machine learning pipelines, which are essential for the development and execution of machine learning applications.
Latest Patents
Sarada holds a patent titled "Computing platform to architect a machine learning pipeline." This patent describes a method for architecting machine learning pipelines by generating a graphical user interface (GUI) that allows users to access a computing platform. The method involves building software components that are distinct and encapsulate respective processes in the machine learning lifecycle. These components include ports for communication, which are interconnected to form a network that embodies the machine learning pipeline. The execution of this pipeline facilitates the implementation of various phases in the machine learning lifecycle. Sarada has 1 patent to his name.
Career Highlights
Sarada P Mohapatra is currently employed at The Boeing Company, where he applies his expertise in machine learning and software development. His role involves collaborating with other professionals to enhance the capabilities of machine learning systems.
Collaborations
Some of Sarada's coworkers include Dragos Dorin Margineantu and Seema Chopra, who contribute to the innovative environment at The Boeing Company.
Conclusion
Sarada P Mohapatra is a pioneering inventor whose work in machine learning pipelines is shaping the future of technology. His contributions are vital for advancing the efficiency and effectiveness of machine learning applications.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
