Hyderabad Telangana, India

Namit Kabra

This inventor holds 43 USPTO granted patents and 9 published patent applications, primarily in Data Classification. Top assignee: International Business Machines Corporation. Active years: 2019-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Namit Kabra. Retrieved from https://idiyas.com/inventor/namit-kabra

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

USPTO Granted Patents = 43 

% Patents Active = 72.1

Average Co-Inventor Count = 2.9

ph-index = 3

Forward Citations = 23(Granted Patents)


Company Filing History:


Years Active: 2019-2026

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Areas of Expertise:
Dynamic Voice Interaction
Model Drift Detection
Workflow Execution Timing
Data Acquisition
ETL Data Processing
Cognitive Rules Engine
Smart Audio Devices
Data Standardization
Duplicate Record Finding
Internet of Things
Data Quality Remediation
Virtual Proxy Nodes
43 patents (USPTO):Explore Patents

Title: The Innovative Journey of Namit Kabra

Introduction:

Namit Kabra, a visionary inventor hailing from Hyderabad, India, has made significant contributions to the field of technology with his groundbreaking innovations.

Latest Patents:

Namit Kabra holds several patents in the areas of artificial intelligence, machine learning, and data analytics, showcasing his expertise in cutting-edge technologies.

Career Highlights:

With a background in computer science and a passion for problem-solving, Namit Kabra has led successful projects in various tech companies, pushing the boundaries of innovation.

Collaborations:

Namit Kabra has collaborated with top research institutions and universities worldwide to further his research and bring his inventions to life, demonstrating his commitment to advancing technology.

Conclusion:

Inventor Namit Kabra's relentless pursuit of innovation and his dedication to pushing the limits of technology make him a true trailblazer in the field of inventions.

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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