Melbourne, Australia

Shivashankar Subramanian

This inventor holds 11 USPTO granted patents and 2 published patent applications. Top assignee: Oracle International Corporation. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Shivashankar Subramanian. Retrieved from https://idiyas.com/inventor/shivashankar-subramanian-uz2ekkbw

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

Calculating rank
USPTO Granted Patents = 11 

% Patents Active = 45.5

Average Co-Inventor Count = 8.8

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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11 patents (USPTO):Explore Patents

Title: Shivashankar Subramanian: Innovator in Data Generation Techniques

Introduction

Shivashankar Subramanian is a notable inventor based in Melbourne, Australia. He has made significant contributions to the field of data generation techniques, particularly in the context of fine-tuning embedding models and named entity recognition models. With a total of four patents to his name, his work is recognized for its innovative approach to enhancing machine learning processes.

Latest Patents

Shivashankar's latest patents include groundbreaking techniques for generating training data to facilitate fine-tuning embedding models. This involves obtaining training data that includes anchor utterances, from which positive and negative utterances are generated. The process culminates in forming tuples that consist of the anchor utterances, positive utterances, and negative utterances. These tuples are then used to generate embeddings, allowing for the fine-tuning of a pre-trained embedding model, which can subsequently be deployed in various systems.

Another significant patent focuses on training data augmentation using gazetteers and perturbations to enhance named entity recognition models. This technique allows for the generation of additional utterances from original training data by replacing named entities with different or perturbed versions selected from a gazetteer. The augmented training data is then utilized to train the named entity recognition model, improving its accuracy and efficiency.

Career Highlights

Shivashankar Subramanian is currently employed at Oracle International Corporation, where he continues to innovate and develop advanced data generation techniques. His work at Oracle has positioned him as a key player in the field of machine learning and artificial intelligence.

Collaborations

Shivashankar has collaborated with talented individuals such as Thanh Long Duong and Vishal Vishnoi. These collaborations have further enriched his work and contributed to the development of innovative solutions in data generation.

Conclusion

Shivashankar Subramanian is a prominent inventor whose contributions to data generation techniques have significantly impacted the field of machine learning. His innovative patents and work at Oracle International Corporation highlight his dedication to advancing technology.

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]
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