This inventor holds 1 USPTO granted patent. Top assignee: Fannie Mae. 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: Kiran Ramineni: Inventor of Machine Learning-Driven System Architecture Automation.
Introduction
Kiran Ramineni is an inventor based in Oakton, Virginia, and works at Fannie Mae. His patent work focuses on applying machine learning and generative models to system architecture automation.
Latest Patents
Ramineni is associated with 1 patent, titled “Machine Learning-Driven System Architecture Automation.” The invention describes a system that receives a user query, converts it into an embedding, and selects related artifact embeddings from the same feature space. It then retrieves a knowledge graph whose nodes represent artifacts and whose edges capture semantic relationships. A generative model receives the query representation, selected embeddings, and knowledge graph to produce an output, which the system sends to the user’s device.
Career Highlights
Ramineni’s patent reflects an approach to architecture automation that combines semantic search, knowledge graphs, and generative AI. His work at Fannie Mae provides the professional context for this innovation.
Collaborations
The provided information identifies Subra Seshadri and Juliana Carroll as Ramineni’s coworkers. Their specific roles in the patent or related work are not stated.
Conclusion
Kiran Ramineni’s patent brings together machine learning, knowledge graphs, and generative models to support automated system architecture workflows.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile