Bothell, WA, United States of America

Ramakrishnan Iyer

This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Prescryptive Health, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ramakrishnan Iyer. Retrieved from https://idiyas.com/inventor/ramakrishnan-iyer

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 1 

% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2026

Loading Chart...
1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Ramakrishnan Iyer

Introduction

Ramakrishnan Iyer is a notable inventor based in Bothell, WA (US). He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing user experience by personalizing product target values.

Latest Patents

Ramakrishnan Iyer holds a patent titled "Determining user-personalized target values of products using machine learning models." This invention involves selecting a set of inputs based on a user identifier. The inputs are then apportioned and recombined to produce grouped inputs. These grouped inputs are processed through machine learning models to deliver individualized information to users. He has 1 patent to his name.

Career Highlights

Ramakrishnan currently works at Prescryptive Health, Inc., where he applies his expertise in machine learning to develop innovative solutions. His role involves collaborating with a team of skilled professionals to drive advancements in health technology.

Collaborations

Some of his notable coworkers include Yang Yu and Christopher Scott Blackley. Their combined efforts contribute to the innovative environment at Prescryptive Health, Inc.

Conclusion

Ramakrishnan Iyer's work exemplifies the intersection of technology and personalized user experience. His contributions to machine learning continue to pave the way for future innovations in the industry.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
Loading…