Karnataka, India

Sandya Srivilliputtur Mannarswamy

This inventor holds 18 USPTO granted patents and 8 published patent applications, primarily in Data Processing. Top assignees: Hewlett-Packard Development Company, L.p., Hewlett Packard Enterprise Development LP, Conduent Business Services, LLC. Active years: 2010-2022.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Sandya Srivilliputtur Mannarswamy. Retrieved from https://idiyas.com/inventor/sandya-srivilliputtur-mannarswamy

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

Calculating rank
USPTO Granted Patents = 18 

% Patents Active = 72.2

Average Co-Inventor Count = 2.8

ph-index = 4

Forward Citations = 40(Granted Patents)


Location History:

  • Karnataka, IN (2011 - 2021)
  • Bengaluru, IN (2010 - 2022)

Company Filing History:


Years Active: 2010-2022

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Areas of Expertise:
Autonomous Intent Mining
Neural Network Architecture
Hate Speech Detection
Data Storage System
Semantic Analysis
Dynamic Software Updates
Multithreaded Programs
Heap Profiling
Code Recompilation
Dynamic Instrumentation
Memory Management
Data Layout Optimization
18 patents (USPTO):Explore Patents

Title: Innovations of Sandya Srivilliputtur Mannarswamy: A Look at His Contributions in Autonomous Systems

Introduction: Sandya Srivilliputtur Mannarswamy is a prolific inventor based in Karnataka, India, with an impressive portfolio of 18 patents. His work primarily focuses on advanced technologies that enhance machine learning and automated systems.

Latest Patents: Among his latest patents, two stand out for their innovative approach to handling data and improving interaction systems. The first patent, titled "Method and system for automated autonomous intent mining," outlines a system designed to extract intents from a corpus of text-based conversations. This system utilizes an intelligent pre-processor that identifies relevant utterances and processes them into a numerical representation. Subsequently, a clustering processor classifies these utterances into unique intent clusters, which play a crucial role in AI-driven dialogue systems.

The second notable patent, "Neural network architecture for subtle hate speech detection," leverages additional background information to classify text as subtly or ambiguously offensive. It incorporates various sources of information, including articles related to the comments and external knowledge from repositories like Wikipedia. By conditioning the comment encoding with this background information, the trained multi-level perceptron can accurately identify hate speech.

Career Highlights: Sandya has made significant contributions while working with reputable companies in the tech sector. He has honed his skills at Hewlett-Packard Development Company, L.P. and Hewlett Packard Enterprise Development LP, where he applied his expertise in machine learning and automated systems.

Collaborations: Throughout his career, Sandya has collaborated with accomplished professionals, including Sujoy Saraswati and Virendra Kumar Mehta. These partnerships have led to innovative ideas and advancements in the fields of AI and machine learning.

Conclusion: Sandya Srivilliputtur Mannarswamy's contributions to technology and innovation are noteworthy, as reflected in his 18 patents. His work in automated systems and hate speech detection stands to make a significant impact on the future of AI-driven communication tools.

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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