Austin, TX, United States of America

Irgelkha Mejia

This inventor holds 22 USPTO granted patents and 8 published patent applications, plus 1 CIPO patent, primarily in Machine Learning Techniques. Top assignees: Adobe, Inc., International Business Machines Corporation. Active years: 2014-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Irgelkha Mejia. Retrieved from https://idiyas.com/inventor/irgelkha-mejia

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

USPTO Granted Patents = 22 

% Patents Active = 68.2


Average Co-Inventor Count = 3.9

ph-index = 4

Forward Citations = 85(Granted Patents)


Location History:

  • Austin, TX (US) (2014 - 2021)
  • Round Rock, TX (US) (2023 - 2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Machine Learning
Color Classification
Data Analytics
Smart Grid
Tone Inference
Search Optimization
Email Grouping
Social Media Analysis
Battery Electric Vehicles
User Interfaces
Content Generation
Search Removal
22 patents (USPTO):Explore Patents

Title: Irgelkha Mejia: Innovator in Search Systems and Data Privacy

Introduction

Irgelkha Mejia is a prominent inventor based in Austin, TX, known for his innovative contributions to search systems and data privacy technologies. With a total of 22 patents to his name, Mejia has made significant strides in enhancing the efficiency and security of information retrieval and management.

Latest Patents

One of Mejia's latest patents focuses on a delivery-related search and analytics system. This search system employs arrival times with associated confidence scores as search facets for identifying items. The system identifies a plurality of items based on search input, determining an arrival time and associated confidence score for each item. The search results are provided based at least in part on these arrival times and confidence scores. Another notable patent involves machine learning modeling for protection against online disclosure of sensitive data. This system uses machine learning models with content editing tools to prevent inadvertent disclosure of sensitive information. It identifies entities associated with private information and computes a privacy score based on connections between these entities, indicating potential exposure of private information.

Career Highlights

Throughout his career, Mejia has worked with leading technology companies, including IBM and Adobe, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas, contributing to advancements in technology and data security.

Collaborations

Mejia has collaborated with notable professionals in the field, including Howard Neil Anglin and Nicholas J Ruegger. These collaborations have further enriched his work and expanded the impact of his inventions.

Conclusion

Irgelkha Mejia stands out as a significant figure in the realm of innovation, particularly in search systems and data privacy. His contributions continue to shape the future of technology and information management.

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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