Fremont, CA, United States of America

Hamed Firooz

This inventor holds 2 USPTO granted patents and 3 published patent applications. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2019-2020.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hamed Firooz. Retrieved from https://idiyas.com/inventor/hamed-firooz

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

USPTO Granted Patents = 2 

% Patents Active = 100.0

Average Co-Inventor Count = 2.7

ph-index = 2

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2019-2020

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2 patents (USPTO):Explore Patents

Title: Hamed Firooz: Innovator in Database Search and Job Skills Inference

Introduction

Hamed Firooz is a notable inventor based in Fremont, California. He has made significant contributions to the fields of database search and job skills inference. With two patents to his name, Firooz is recognized for his innovative approaches to enhancing user experience in technology.

Latest Patents

Firooz's latest patents include "Entity- and string-based search using a dynamic knowledge graph." This invention discloses techniques for performing a database search using a rewritten and annotated query. In this embodiment, a profile lexicon is generated from a set of raw user profiles, and a click-through lexicon is created from a raw query log. A machine-learning model is trained for entity prediction using selected data, and query tagger data is generated using the profile lexicon, click-through lexicon, and the machine-learning model. The process involves receiving a raw query, rewriting it as an annotated query based on the generated query tagger data, and performing a database search using the annotated query. The results are then returned for presentation in a user interface.

Another significant patent is "Applicant skills inference for a job." This invention describes techniques for inferring a specific skill associated with a job posting. The system selects a specific job posting from a jobs database and determines job applicants using indicators in the profile data of members. A set of skills associated with the job applicants is obtained, and a percentage of applicants having a specific skill is calculated. A confidence score of the specific skill being associated with the job posting is then computed based on this percentage. The user interface displays the specific job posting when the confidence score exceeds a predetermined threshold.

Career Highlights

Hamed Firooz is currently employed at Microsoft Technology Licensing, LLC. His work focuses on developing innovative solutions that leverage machine learning and data analysis to improve search functionalities and job matching processes.

Collaborations

Firooz has collaborated with talented individuals such as Siyuan Zhang and Mohsen Jamali. Their combined expertise contributes to the advancement of technology in their respective fields.

Conclusion

Hamed Firooz is a distinguished inventor whose work in database search and job skills inference has the potential to transform user experiences in technology. His contributions at Microsoft Technology Licensing, LLC, and his innovative patents reflect his commitment to advancing the field.

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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