This inventor holds 1 USPTO granted patent. Top assignee: Hcl Technologies Limited. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Dhanyamraju Sum Prasad: Innovator in Machine Learning Technologies
Introduction
Dhanyamraju Sum Prasad is a notable inventor based in Hyderabad, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the efficiency of operating machine learning models, which is crucial in today's technology-driven world.
Latest Patents
Dhanyamraju holds a patent titled "Method and system for automatically generating codes to operate ML models." This patent describes a method for automatically generating codes to operate machine learning models. The method includes operating, for each of a plurality of stages associated with ML model operations, at least one machine learning model. It involves selecting a predefined technique associated with the current stage, generating code based on the selected technique, and creating configurations for execution.
Career Highlights
Dhanyamraju Sum Prasad is currently employed at HCL Technologies Limited, where he applies his expertise in machine learning. His role involves developing innovative solutions that streamline the operation of machine learning models. His contributions have been instrumental in advancing the capabilities of the technologies used in his field.
Collaborations
Dhanyamraju has collaborated with notable colleagues such as Harikrishna C Warrier and Yogesh Gupta. These collaborations have fostered a creative environment that encourages innovation and the sharing of ideas.
Conclusion
Dhanyamraju Sum Prasad is a prominent figure in the realm of machine learning, with a patent that showcases his innovative approach to technology. His work at HCL Technologies Limited and collaborations with other professionals highlight his commitment to advancing the field. His contributions are paving the way for future developments in machine learning technologies.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
