Odivelas, Portugal

Jéssica Costa Da Rocha


Average Co-Inventor Count = 6.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Jéssica Costa Da Rocha: Innovator in Machine Learning Applications

Introduction

Jéssica Costa Da Rocha is a notable inventor based in Odivelas, Portugal. He has made significant contributions to the field of machine learning, particularly in the context of database systems. His innovative approach has led to the development of a unique patent that enhances data synchronization processes.

Latest Patents

Jéssica holds a patent for a "Machine learning based application of changes in a target database system." This patent describes a computer-implemented method for applying changes to tables within a target database system using a data synchronization system. The system is designed to automatically utilize at least one configurable parameter for implementing requested changes. The method incorporates a trained machine learning model that adjusts the configurable parameter based on the current workload level of the target database system. This innovative approach allows for more efficient data management and synchronization.

Career Highlights

Jéssica is currently employed at International Business Machines Corporation (IBM), where he continues to work on cutting-edge technologies. His expertise in machine learning and database systems has positioned him as a valuable asset to the company. With a focus on practical applications of machine learning, Jéssica is dedicated to advancing the capabilities of data synchronization.

Collaborations

Throughout his career, Jéssica has collaborated with talented professionals such as Dennis Butterstein and Adnan Ahmad. These collaborations have fostered an environment of innovation and creativity, leading to the development of impactful technologies.

Conclusion

Jéssica Costa Da Rocha is a pioneering inventor whose work in machine learning applications has the potential to transform data management practices. His contributions to the field are noteworthy, and his ongoing efforts at IBM continue to push the boundaries of technology.

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