Company Filing History:
Years Active: 2024-2025
Title: Kapil Kumar - Innovator in Deep Machine Learning
Introduction
Kapil Kumar is a prominent inventor based in London, GB. He has made significant contributions to the field of deep machine learning, holding a total of 4 patents. His work focuses on enhancing the ranking and prediction capabilities of content items through advanced machine learning techniques.
Latest Patents
Kapil's latest patents include a "Deep Machine Learning Content Item Ranker." This invention discloses a system, method, and computer program product for ranking multiple content items for user presentation. The embodiment generates a ranking score for each content item by providing input to a deep machine learning model, which includes various query and content item features. The model determines interaction probabilities between the user and the content item, ultimately calculating the ranking score based on these probabilities.
Another notable patent is "Multiple Query Projections for Deep Machine Learning." This invention outlines a method for generating predictions based on a query. The deep machine learning model generates multiple query projection embeddings by projecting the query into different embedding spaces. Each projection layer applies a hash function to create a vector representation of the query, which is then weighted to produce the final query projection embedding.
Career Highlights
Kapil Kumar is currently employed at Roku, Inc., where he continues to innovate in the field of machine learning. His work has been instrumental in developing systems that improve user interaction with content through intelligent ranking and prediction algorithms.
Collaborations
Some of Kapil's notable coworkers include Srimaruti Manoj Nimmagadda and Nitish Aggarwal. Their collaborative efforts contribute to the advancement of technology in the realm of deep learning.
Conclusion
Kapil Kumar is a distinguished inventor whose work in deep machine learning has led to significant advancements in content ranking and prediction. His contributions are shaping the future of how users interact with digital content.