Company Filing History:
Years Active: 2024-2025
Title: Daria Wieteska: Innovator in Machine Learning
Introduction
Daria Wieteska is a prominent inventor based in Warsaw, Poland. She has made significant contributions to the field of machine learning, particularly in the area of document extraction. With a total of two patents to her name, Daria is recognized for her innovative approaches to leveraging technology for data processing.
Latest Patents
Daria's latest patents focus on generating machine-learning models for document extraction. These systems and methods are designed to extract information from one or more electronic documents. The machine-learning model can be utilized as a data object, which can be integrated into a database command or as part of a continuously running document information extraction process, such as a document information extraction pipeline.
Career Highlights
Daria currently works at Snowflake Inc., where she applies her expertise in machine learning to develop advanced solutions for data management. Her work has been instrumental in enhancing the efficiency of document processing systems.
Collaborations
Daria collaborates with talented professionals in her field, including Michal Gdak and Ganeshan Ramachandran Iyer. These partnerships contribute to the innovative environment at Snowflake Inc. and foster the development of cutting-edge technologies.
Conclusion
Daria Wieteska is a trailblazer in the realm of machine learning and document extraction. Her patents and work at Snowflake Inc. highlight her commitment to advancing technology and improving data processing methods.
Inventor’s Patent Attorneys refers to legal professionals with specialized expertise in representing inventors throughout the patent process. These attorneys assist inventors in navigating the complexities of patent law, including filing patent applications, conducting patent searches, and protecting intellectual property rights. They play a crucial role in helping inventors secure patents for their innovative creations.