Redmond, WA, United States of America

Melody Denise Litovkin

USPTO Granted Patents = 1 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Celebrating the Innovations of Melody Denise Litovkin

Introduction: Melody Denise Litovkin is an inspiring inventor based in Redmond, Washington. With her expertise in dataset distinctiveness modeling, she has made significant contributions to the field of technology and intellectual property. Her work primarily focuses on enhancing the understanding and evaluation of trademarks through advanced machine learning techniques.

Latest Patents: Melody holds a patent titled "Dataset Distinctiveness Modeling." This innovative system provides methods for evaluating the distinctiveness of datasets associated with intellectual property assets, specifically trademarks. The patent outlines a process for querying databases to identify relevant datasets, generating vector representations for trademarks and associated goods or services. By employing a machine learning model, the distinctiveness score can be predicted based on these vector representations, similarity metrics, and contextual data, revolutionizing the way trademark distinctiveness is assessed.

Career Highlights: Melody’s journey in the field is marked by her role at Moat Metrics, Inc., where she applies her knowledge and expertise in developing cutting-edge solutions that aid in trademark evaluation. Her single patent reflects her innovative thinking and commitment to advancing the understanding of intellectual property in a digital age.

Collaborations: Throughout her career, Melody has had the privilege of working alongside talented individuals such as David Craig Andrews and Deanna Lily Emery. These collaborations not only enhance her work but also contribute to a rich environment of shared ideas and innovations, fostering an atmosphere of creativity and progress in her field.

Conclusion: Melody Denise Litovkin’s work in dataset distinctiveness modeling exemplifies the transformative power of innovation in intellectual property. Her contributions continue to shape the landscape of trademark evaluation, pushing the boundaries of technology and creativity in a constantly evolving industry.

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