Kannan Govindarajan

This inventor holds 27 USPTO granted patents, plus 7 CIPO patents and 1 EPO patent, primarily in Machine Learning. Top assignees: Servicenow, Inc., Hewlett-Packard Development Company, L.p., Dxcontinuum Inc.. Active years: 2005-2023.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kannan Govindarajan. Retrieved from https://idiyas.com/inventor/kannan-govindarajan

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

Calculating rank

USPTO Granted Patents = 27

% Patents Active = 92.6

CIPO Patents = 7 (Patent Applications = 1)

EPO Patents = 1 (Patent Applications = 7)

Average Co-Inventor Count = 4.5

ph-index = 7

Forward Citations = 157(Granted Patents)

Location History:

Boston, MA (US) (2007)
Fremont, CA (US) (2005 - 2010)
Palo Alto, CA (US) (2014)
Sunnyvale, CA (US) (2012 - 2023)

Company Filing History:

Hewlett-Packard Development Company, L.p.

4. 1 out of 834,601

Other

patents

Years Active: 2005-2023

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Areas of Expertise:

Distributed Training

Predictive Modeling

Word Vector Representations

Classification Thresholds

Remote Network Management

Smart Routing

Business Decision Analytics

Resource Management

Machine Learning Architecture

Confidence Scoring

Worker Node Architecture

Service Configuration

27 patents (USPTO):Sort by Forward CitationsExplore Patents

1. 11620571 - Machine learning with distributed training (2023-04-04),

2. 11595484 - Centralized machine learning predictor for a remote network management platform (2023-02-28),

3. 11574235 - Machine learning worker node architecture (2023-02-07),

4. 11403332 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2022-08-02),

5. 11238230 - Persistent word vector input to multiple machine learning models (2022-02-01),

6. 11080588 - Machine learning with partial inversion (2021-08-03),

7. 10949807 - Model building architecture and smart routing of work items (2021-03-16),

8. 10817788 - Machine learning classification with confidence thresholds (2020-10-27),

9. 10795923 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2020-10-06),

10. 10706359 - Method and system for generating predictive models for scoring and prioritizing leads (2020-07-07),

11. 10671926 - Method and system for generating predictive models for scoring and prioritizing opportunities (2020-06-02),

12. 10558921 - Machine learning classification with confidence thresholds (2020-02-11),

13. 10558920 - Machine learning classification with confidence thresholds (2020-02-11),

14. 10459962 - Selectively generating word vector and paragraph vector representations of fields for machine learning (2019-10-29),

15. 10445661 - Shared machine learning (2019-10-15),

Title: Kannan Govindarajan: Innovator in Machine Learning Technology

Introduction: Kannan Govindarajan, based in Sunnyvale, CA, is a distinguished inventor with an impressive portfolio of 27 patents. His work primarily focuses on innovations in machine learning and network management systems, which have broad implications for remote data processing and predictive analytics.

Latest Patents: Among his latest patents, Kannan has developed technologies such as "Machine Learning with Distributed Training" and "Centralized Machine Learning Predictor for a Remote Network Management Platform." The first patent describes a network system comprising multiple trainer devices and a computing system that efficiently manages the ML training process by leveraging data from client devices. This allows for the prediction of target variables using an ML model generated from the provided training data. In his second significant innovation, Kannan presents a remote network management platform that utilizes a training computational instance to build a machine learning model that assesses numerical similarities between textual records, thus facilitating advanced data retrieval and prediction capabilities.

Career Highlights: Throughout his career, Kannan has contributed to renowned companies such as ServiceNow, Inc. and Hewlett-Packard Development Company, L.P. His expertise in machine learning and network management has not only resulted in numerous patents but has also significantly influenced the technological advancements within these organizations.

Collaborations: Kannan has collaborated with fellow innovators, including Baskar Jayaraman and Aniruddha Madhusudan Thakur. Their combined efforts and shared vision have fostered a collaborative environment that has driven the development of innovative solutions in the field of machine learning.

Conclusion: Kannan Govindarajan embodies the spirit of innovation with his substantial contributions to machine learning technologies. His patents and career achievements showcase his dedication to transforming complex problems into practical solutions, making him a key figure in the evolution of network management and predictive analytics.

Profile summary based on public USPTO records.