Bothell, WA, United States of America

Tejaswi Manjunath

This inventor holds 1 USPTO granted patent. Top assignee: Amazon Technologies, Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Tejaswi Manjunath. Retrieved from https://idiyas.com/inventor/tejaswi-manjunath

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


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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

Title: Tejaswi Manjunath: Innovator in Machine Learning Access Restrictions

Introduction

Tejaswi Manjunath is a notable inventor based in Bothell, WA (US). She has made significant contributions to the field of machine learning, particularly in enforcing access restrictions for fine-tuning models. Her innovative approach addresses critical challenges in data access and model optimization.

Latest Patents

Tejaswi holds a patent titled "Enforcing access restrictions for fine-tuning machine learning models." This patent outlines a method for enforcing provider and consumer access restrictions when fine-tuning machine learning models. The process involves receiving a request to fine-tune a model, ensuring that both provider and consumer access restrictions are adhered to. This results in a tuned set of weights that can be combined with the trained model's weights for improved inference capabilities.

Career Highlights

Tejaswi is currently employed at Amazon Technologies, Inc., where she applies her expertise in machine learning and data access. Her work is instrumental in developing advanced technologies that enhance the functionality and security of machine learning applications.

Collaborations

Tejaswi collaborates with talented professionals such as Arun Babu Nagarajan and Paras Mehra. These partnerships foster innovation and contribute to the development of cutting-edge solutions in the tech industry.

Conclusion

Tejaswi Manjunath's contributions to machine learning and her innovative patent demonstrate her commitment to advancing technology. Her work not only enhances model performance but also ensures data security, making her a valuable asset in the field of artificial intelligence.

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…