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For the Inventor, By the Inventor

Sunnyvale, CA, United States of America

Arun Kumar Jagota

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This inventor holds 55 USPTO granted patents and 11 published patent applications, primarily in Machine Learning Models (CPC class G06F). Top assignees: Salesforce Com, Inc., Salesforce, Inc., Other. Active years: 2013-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Arun Kumar Jagota. Retrieved from https://idiyas.com/inventor/arun-kumar-jagota

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

USPTO Granted Patents = 55 

% Patents Active = 98.2

Average Co-Inventor Count = 1.9

ph-index = 8

Forward Citations = 490(Granted Patents)

Forward Citations (Not Self Cited) = 444(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Sunnyvle, CA (US) (2014)
  • Sunnyvale, CA (US) (2013 - 2024)

Company Filing History:

goldMedal43 out of 3,145 
 
Salesforce Com, Inc.
 patents
silverMedal10 out of 1,714 
 
Salesforce, Inc.
 patents
bronzeMedal1 out of 834,570 
Other
 patents
where one patent can have more than one assignee

Years Active: 2013-2026

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Areas of Expertise:
Entity Matching
Time Series Data
Real-Time Predictions
Adaptive Recognition
Fuzzy Matching
Data Steward Feedback
De-Duplication
Personal Profiles
Recommendation Models
Cross Objects
Tokenization
Bayesian Classifier
55 patents (USPTO):Explore Patents
1. 12608549 - Training machine learning models for multi-modal entity matching in electronic records (2026-04-21),
2. 12327199 - Multi-scale exponential-smoothing forecaster for time series data (2025-06-10),
3. 12106199 - Real-time predictions based on machine learning models (2024-10-01),
4. 11886461 - Machine-learnt field-specific standardization (2024-01-30),
5. 11790278 - Determining rationale for a prediction of a machine learning based model (2023-10-17),
6. 11755914 - Machine learning from data steward feedback for merging records (2023-09-12),
7. 11755680 - Adaptive recognition of entities (2023-09-12),
8. 11755582 - Adaptive field-level matching (2023-09-12),
9. 11651291 - Real-time predictions based on machine learning models (2023-05-16),
10. 11620483 - Discovering suspicious person profiles (2023-04-04),
11. 11436233 - Generating adaptive match keys (2022-09-06),
12. 11372928 - Adaptive match indexes (2022-06-28),
13. 11360990 - Method and a system for fuzzy matching of entities in a database system based on machine learning (2022-06-14),
14. 11244238 - Search query result set count estimation (2022-02-08),
15. 11244004 - Generating adaptive match keys based on estimating counts (2022-02-08),

Title: The Innovative Journey of Arun Kumar Jagota

Introduction: Arun Kumar Jagota, a talented inventor based in Sunnyvale, CA (US), has made significant contributions to the field of technology through his groundbreaking inventions and patents.

Latest Patents: Arun Kumar Jagota holds several patents in the areas of artificial intelligence, machine learning, and renewable energy technologies. His most recent patent focuses on developing a cutting-edge algorithm for optimizing solar panel efficiency.

Career Highlights: With a background in electrical engineering and a passion for innovation, Arun Kumar Jagota has had a successful career working for leading tech companies in Silicon Valley. He has been instrumental in developing new technologies that have revolutionized the industry.

Collaborations: Throughout his career, Arun Kumar Jagota has collaborated with top researchers, engineers, and scientists to bring his inventions to life. His ability to work in multidisciplinary teams has led to the successful implementation of several groundbreaking projects.

Conclusion: Arun Kumar Jagota's dedication to innovation and his relentless pursuit of technological advancement make him a standout figure in the world of inventors. His contributions continue to inspire future generations of inventors and engineers.

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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