Bengaluru, India

Romi Malik

USPTO Granted Patents = 1 

Average Co-Inventor Count = 5.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Romi Malik - Innovator in Evaluating Contract Worthiness of Performing Artists

Introduction

Romi Malik is an accomplished inventor based in Bengaluru, India. He has made significant contributions to the field of evaluating contract worthiness for performing artists. His innovative approach leverages machine learning to assess the potential of artists in the entertainment industry.

Latest Patents

Romi Malik holds a patent for a method and system for evaluating contract worthiness of performing artists. This patent outlines a comprehensive method that includes receiving consolidated data for a set of performing artists. The process involves classifying topics in the text data into various categories using a machine learning classification model. Additionally, it determines user engagement behavior segments based on sentiment scores and calculates a contract worthiness score using a trained model. This innovative system aims to enhance the evaluation process for artists, ensuring that contracts are awarded based on reliable metrics.

Career Highlights

Romi Malik is currently employed at Infosys Limited, where he applies his expertise in machine learning and data analysis. His work focuses on developing systems that improve decision-making processes in the entertainment sector. With a strong background in technology and innovation, he continues to push the boundaries of what is possible in evaluating artist performance.

Collaborations

Romi collaborates with talented professionals such as Debamalya Choudhury and Vinay Govindan Muralidharan. These partnerships enhance the development of innovative solutions within his field.

Conclusion

Romi Malik's contributions to the evaluation of contract worthiness for performing artists demonstrate his commitment to innovation and technology. His patent reflects a significant advancement in the industry, showcasing the potential of machine learning in enhancing decision-making processes.

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