Krakow, Poland

Jan Soltysik

This inventor holds 2 USPTO granted patents. Top assignee: International Business Machines Corporation. Active years: 2026.


% Patents Active = 50.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

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2 patents (USPTO):Explore Patents

Title: Jan Soltysik: Innovator in Machine Learning Technologies

Introduction

Jan Soltysik is a prominent inventor based in Krakow, Poland. He has made significant contributions to the field of machine learning, particularly in developing methods for testing and generating machine learning models. With a total of 2 patents, his work is recognized for its innovative approach to enhancing machine learning engines.

Latest Patents

Jan Soltysik's latest patents include two notable inventions. The first patent focuses on testing a machine learning model. This method involves generating tests for a machine learning engine by determining a feature space of configuration parameters from initial test cases. It identifies areas of low coverage in the feature space and defines new test cases to improve performance. The second patent relates to providing a machine learning model based on desired metric values. This method includes receiving a selection of desired metric values and using previously obtained training settings to generate a machine learning model that can predict values of specific attributes.

Career Highlights

Jan Soltysik is currently employed at International Business Machines Corporation (IBM), where he applies his expertise in machine learning. His work at IBM has allowed him to collaborate with other talented professionals in the field, contributing to advancements in technology and innovation.

Collaborations

Some of Jan's coworkers include Daniel Jakub Ryszka and Wojciech Sobala. Their collaborative efforts have further enhanced the development of machine learning technologies within their organization.

Conclusion

Jan Soltysik is a key figure in the realm of machine learning, with a focus on improving testing methods and model generation. His contributions are paving the way for future innovations in this rapidly evolving field.

Profile summary based on public USPTO records.
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