This inventor holds 2 USPTO granted patents, plus 1 CIPO patent. Top assignee: Socure, Inc.. Active years: 2022-2023.
Company Filing History:
Years Active: 2022-2023
Title: The Innovative Mind of Stanislav Palatnik
Introduction: Stanislav Palatnik is a prominent inventor based in New York, NY, known for his significant contributions to the field of machine learning and data normalization. With a total of two patents to his name, Palatnik has developed groundbreaking methodologies designed to enhance the integrity and interpretability of transaction data, particularly in the context of fraud detection.
Latest Patents: Palatnik's latest patents include innovative systems and methodologies for adjusting machine learning transaction scores. The first patent focuses on "Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof Accounting for Underlying Transaction Score Bases Relating to an Occurrence of Fraud in a Transaction". This invention proposes an iterative approach to measuring data across multiple sets, which considers the various data generation sources and bases. By normalizing this data, the system ensures a consistent interpretation and presentation, regardless of the machine learning model utilized. His second patent is on "Self Learning Machine Learning Transaction Scores Adjustment via Normalization Thereof". It describes a similar methodology that aims to transform data across different sets, promoting uniform understanding and representation of transaction data.
Career Highlights: Stanislav Palatnik is currently employed at Socure, Inc., where he applies his expertise in machine learning to develop cutting-edge technologies in transaction verification and fraud prevention. His role at Socure allows him to collaborate with a talented team and push the boundaries of innovation in data science.
Collaborations: Throughout his career, Palatnik has had the opportunity to collaborate with notable colleagues, including Pablo Ysrrael Abreu and Omar Gutierrez. These partnerships have fostered an environment of creativity and progress, enabling the group to work on pioneering solutions in the tech industry.
Conclusion: Stanislav Palatnik's work exemplifies the spirit of innovation that drives advancements in technology today. With his focus on machine learning and data normalization, he is at the forefront of developing solutions that enhance the reliability of transaction data. As he continues to focus on his research and projects at Socure, the contributions of this skilled inventor will undoubtedly lead to significant advancements in the field.
