This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: Dewan Muhammed Ibtesham: Innovator in Machine Learning Model Optimization
Introduction
Dewan Muhammed Ibtesham is a notable inventor based in Redmond, WA (US). He has made significant contributions to the field of machine learning, particularly in optimizing model parameters. His innovative approach has the potential to enhance the performance of various machine learning applications.
Latest Patents
Dewan holds a patent for a technique titled "Model configuration." This patent describes methods for tuning parameters in machine learning models. The process involves testing different parameter values to identify the one that optimizes the model's performance. A search algorithm is utilized to select parameter values based on the model's performance relative to other values. The testing continues until a predetermined stopping criterion is met, which may include factors such as testing time, number of trials, or performance enhancement. Notably, these techniques can also be applied to natural language processing models. Dewan has 1 patent to his name.
Career Highlights
Dewan is currently employed at Amazon Technologies, Inc., where he applies his expertise in machine learning. His work focuses on developing advanced algorithms that improve the efficiency and effectiveness of machine learning models. His contributions are instrumental in driving innovation within the company.
Collaborations
Dewan collaborates with talented individuals such as Rahul Gupta and Jwala Dhamala. Together, they work on various projects that push the boundaries of machine learning technology.
Conclusion
Dewan Muhammed Ibtesham is a pioneering inventor whose work in machine learning model optimization is shaping the future of technology. His innovative techniques and collaborations are paving the way for advancements in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
