Company Filing History:
Years Active: 2021-2022
Title: Geetha Venkatesan: Innovator in Machine Learning Applications
Introduction
Geetha Venkatesan is a prominent inventor based in Bengaluru, India. She has made significant contributions to the field of machine learning, particularly in applications that enhance database management and manufacturing processes. With a total of three patents to her name, her work exemplifies the intersection of technology and innovation.
Latest Patents
Geetha's latest patents include groundbreaking methods for predicting statistics gathering times for database activity data using machine learning techniques. This invention provides a computer-implemented method that involves obtaining activity data related to storage objects in a database. By processing this data with machine learning techniques, the method determines optimal times for gathering statistics and automates related actions.
Another notable patent focuses on device manufacturing cycle time reduction through machine learning techniques. This invention utilizes video input from manufacturing environments to assess the availability of resources. By applying machine learning models to the video data, the method outputs availability status information to user devices, thereby improving efficiency in manufacturing processes.
Career Highlights
Geetha has worked with notable companies such as Dell Products Inc. and EMC IP Holding Company LLC. Her experience in these organizations has allowed her to develop and refine her innovative ideas, contributing to advancements in technology and machine learning applications.
Collaborations
Geetha has collaborated with talented professionals in her field, including Hung The Dinh and Rajesh Krishnan. These collaborations have fostered a creative environment that encourages the exchange of ideas and the development of innovative solutions.
Conclusion
Geetha Venkatesan's contributions to machine learning and her innovative patents highlight her role as a leading inventor in her field. Her work not only enhances database management and manufacturing processes but also sets a precedent for future innovations.