Santa Clara, CA, United States of America

Sujith Ravi

This inventor holds 28 USPTO granted patents and 9 published patent applications and 3 EPO patents, primarily in Natural Language Processing. Top assignees: Google Inc., Yahoo! Inc.. Active years: 2016-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sujith Ravi. Retrieved from https://idiyas.com/inventor/sujith-ravi

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

USPTO Granted Patents = 28 

% Patents Active = 92.9

 

Average Co-Inventor Count = 2.9

ph-index = 6

Forward Citations = 341(Granted Patents)


Company Filing History:


Years Active: 2016-2026

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Areas of Expertise:
Image-Text Embedding
Emotion Classification
Neural Networks
Natural Language Understanding
Machine Learning Services
Smart Replies
Information Retrieval
Task Association
Graph Propagation
Automatic Response Suggestions
28 patents (USPTO):Explore Patents

Title: Innovations by Sujith Ravi: A Pioneer in Emotion Classification and Image Embedding Technologies

Introduction

Sujith Ravi, based in Santa Clara, California, is a distinguished inventor with a portfolio of 26 patents to his name. His innovative work primarily focuses on advancements in technology related to emotion classification in texts and image embedding methodologies. His contributions are not only groundbreaking but also have significant implications for enhancing user interaction in digital communications.

Latest Patents

Among Sujith's latest patents is a groundbreaking method for emotion classification in text. This technology is designed to detect and classify emotions in written communication, enabling the suggestion of graphical elements such as emojis, stickers, or GIFs to users. The approach employs various modeling techniques, including fully supervised models, few-shot models, and other classifications focused on either the server-side or client-side. Server-side models, hosted on cloud servers, benefit from large-scale resources, resulting in high accuracy. Conversely, the smaller-scale on-device models allow for functionality in resource-constrained environments like mobile phones and wearables.

Another noteworthy patent involves training methods for image embedding models. This innovative methodology utilizes training data composed of image pairs and associated click-rate metrics to develop an effective image embedding model. The unique combination of these elements underscores Sujith's commitment to enhancing the interface between images and user interaction metrics.

Career Highlights

Sujith Ravi has been associated with several prominent companies throughout his career, including Google Inc. and Yahoo! Inc. His work in these leading tech firms has allowed him to drive significant innovations and contribute to the development of advanced technological solutions.

Collaborations

While working, Sujith has collaborated with several esteemed colleagues, including Andrew Stephen Tomkins and Robin Dua. These collaborations have further enriched his experience and led to the development of technologies that have a profound impact on user engagement and machine learning.

Conclusion

Sujith Ravi's innovative contributions to emotion classification and image embedding have positioned him as a notable figure in the tech industry. His patents not only demonstrate technical expertise but also reflect a deep understanding of the evolving needs of digital communication. With a strong foundation in collaboration and a commitment to innovation, Sujith is poised to continue influencing the landscape of technology in the years to come.

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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