This inventor holds 6 USPTO granted patents. Top assignee: The Boeing Company. Active years: 2022-2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022-2024
Title: Innovations by Kaustubh Kaluskar
Introduction
Kaustubh Kaluskar is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of machine learning, holding a total of six patents. His work focuses on developing innovative methods for machine learning model creation and evaluation.
Latest Patents
Kaluskar's latest patents include "Machine learning model development with interactive feature construction and selection." This patent describes a method for generating a visual environment that facilitates the interactive development of machine learning models. The process involves accessing data observations, performing interactive feature construction, and building a machine learning model to predict dependent variables. Another notable patent is "Machine learning model development with interactive model evaluation." This method also generates a visual environment for interactive development and includes exploratory data analysis, feature selection, and model building.
Career Highlights
Kaustubh Kaluskar is currently employed at The Boeing Company, where he applies his expertise in machine learning to enhance various projects. His innovative approaches have contributed to advancements in the field, showcasing his commitment to pushing the boundaries of technology.
Collaborations
Kaluskar has collaborated with talented coworkers, including Seema Chopra and Akshata Kishore Moharir. Their combined efforts have led to the successful development of cutting-edge machine learning solutions.
Conclusion
Kaustubh Kaluskar's contributions to machine learning through his patents and work at The Boeing Company highlight his role as a leading inventor in the field. His innovative methods are paving the way for future advancements in technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
