Company Filing History:
Years Active: 2023-2024
Title: Innovations by Matthew Tomaszewicz
Introduction
Matthew Tomaszewicz is an accomplished inventor based in San Francisco, CA. He has made significant contributions to the field of machine learning through his innovative patents. With a total of 2 patents, Tomaszewicz is recognized for his work in generating complex data models that enhance the training of machine learning systems.
Latest Patents
Tomaszewicz's latest patents include "Extensible agents in agent-based generative models" and "Generation of synthetic data using agent-based simulations." The first patent describes a system, method, and computer-readable medium for generating factual and/or counterfactual data. This innovation aims to improve the complexity of data available for training machine learning models. The models may include agent-based models (ABMs) where agent definitions are decoupled from the simulation. Some agents may possess attributes and behaviors that allow them to be reused in different ABMs to simulate various systems. The second patent also focuses on generating factual and/or counterfactual data, enhancing the complexity of data for machine learning training. It includes aspects such as scrubbing actual data to create a data model that does not reveal the content of the underlying source data and validating a data model.
Career Highlights
Matthew Tomaszewicz currently works at Capital One Services, LLC, where he applies his expertise in machine learning and data generation. His innovative approaches have positioned him as a key player in the development of advanced data models.
Collaborations
Tomaszewicz collaborates with talented professionals such as Francisco Gutierrez and Sandeep Narayanaswami, contributing to a dynamic work environment that fosters innovation.
Conclusion
Matthew Tomaszewicz is a notable inventor whose work in machine learning and data generation has the potential to transform the field. His patents reflect a commitment to enhancing the complexity and utility of data for training advanced models.