Company Filing History:
Years Active: 2018-2025
Title: Gregorio Convertino: Innovator in Data Protection and Machine Learning
Introduction
Gregorio Convertino is a prominent inventor based in Sunnyvale, California. He has made significant contributions to the fields of data protection and machine learning, holding a total of eight patents. His innovative work focuses on enhancing data security and optimizing machine learning processes.
Latest Patents
One of Gregorio's latest patents is titled "Method, apparatus, and computer-readable medium for data protection simulation and optimization in a computer network." This invention involves a system and method for grouping data stored in a computer network according to architectural or conceptual attributes. It includes storing current values of risk metrics for each grouping and simulating the application of protection mechanisms to sensitive data. The goal is to determine a simulated value of risk metrics and rank the groupings based on these values.
Another notable patent is "Hyperparameter tuning using visual analytics in a data science platform." This invention facilitates the tuning of hyperparameter values during the development of machine learning models. It utilizes interactive visualizations that change in response to user interaction, allowing users to optimize tuning processes, collaborate with peers, and view costs associated with executing experiments.
Career Highlights
Gregorio has worked with several notable companies, including Informatica Corporation and Cloudera, Inc. His experience in these organizations has contributed to his expertise in data management and analytics.
Collaborations
Throughout his career, Gregorio has collaborated with talented individuals such as Tianyi Li and Gary W. Patterson. These collaborations have further enriched his work and innovations in the tech industry.
Conclusion
Gregorio Convertino is a distinguished inventor whose work in data protection and machine learning continues to impact the technology landscape. His patents reflect a commitment to advancing these fields and enhancing the security and efficiency of data management systems.