Venice, CA, United States of America

Esfandiar Alizadeh

This inventor holds 5 USPTO granted patents and 3 published patent applications, plus 1 CIPO patent. Top assignee: Zestfinance, Inc.. Active years: 2023-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Esfandiar Alizadeh. Retrieved from https://idiyas.com/inventor/esfandiar-alizadeh

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

USPTO Granted Patents = 5 

% Patents Active = 100.0


Average Co-Inventor Count = 17.0

ph-index = 1

Forward Citations = 3(Granted Patents)


Location History:

  • Los Angeles, CA (US) (2023)
  • Venice, CA (US) (2024)

Company Filing History:


Years Active: 2023-2026

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5 patents (USPTO):Explore Patents

Title: The Innovative Mind of Esfandiar Alizadeh

Introduction

Esfandiar Alizadeh, based in Venice, California, is a prominent inventor recognized for his significant contributions to the fields of machine learning and modeling tools. With a total of four patents to his name, Alizadeh continues to push the boundaries of technology with his innovative approaches and solutions.

Latest Patents

Among his most recent patents, Alizadeh boasts groundbreaking inventions including "Systems and methods for enriching modeling tools and infrastructure with semantics," which outlines a sophisticated mechanism to enhance modeling workflows. This patent describes a process where a reference distribution of scores derived from a model is stored in a structured database. The system is designed to identify unexpected scores during model execution by comparing production distributions with the reference distribution, ultimately issuing alerts to external systems when criteria are met. Another notable patent is "Systems and methods for providing machine learning model evaluation by using decomposition," which improves model evaluation techniques by employing a decomposition process relative to baseline input data sets.

Career Highlights

Esfandiar Alizadeh is currently affiliated with ZestFinance, Inc., where his work focuses on advancing machine learning technologies and enhancing the efficiency of modeling processes. His innovative methods are instrumental in transforming how models interact with data, ensuring better adaptability and reliability within various applications.

Collaborations

Throughout his career, Alizadeh has worked alongside notable colleagues such as Douglas C. Merrill and Sean Javad Kamkar. These collaborations have fostered a creative environment that encourages the exchange of ideas and pioneering solutions that can address complex challenges in technology and finance.

Conclusion

Esfandiar Alizadeh stands as a testament to the power of innovation in technology. His contributions through patents reflect a keen understanding of both theoretical and practical aspects of machine learning and modeling. As he continues to work on cutting-edge solutions at ZestFinance, Inc., his impact on the industry is sure to grow, inspiring future generations of inventors and researchers.

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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