Bothell, WA, United States of America

Hiren Shantilal Patel

This inventor holds 15 USPTO granted patents and 5 published patent applications and 6 EPO patents, primarily in Data Analytics Optimization. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2020-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Hiren Shantilal Patel. Retrieved from https://idiyas.com/inventor/hiren-shantilal-patel

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

Calculating rank
USPTO Granted Patents = 15 

% Patents Active = 100.0

 

Average Co-Inventor Count = 5.1

ph-index = 2

Forward Citations = 40(Granted Patents)


Location History:

  • Bellevue, WA (US) (2020)
  • Bothell, WA (US) (2020 - 2024)

Company Filing History:


Years Active: 2020-2026

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Areas of Expertise:
Big Data Queries
Resource Allocation
Cloud Optimization
Machine Learning
Distributed Databases
Data Analytics
Serverless Processing
Computation Reuse
Checkpoint Selection
Vectorized Delete
Query Workload
Data Streams
15 patents (USPTO):Explore Patents

Title: Innovations and Contributions of Hiren Shantilal Patel

Introduction

Hiren Shantilal Patel is a notable inventor based in Bothell, WA (US), recognized for his significant contributions to technology and machine learning. With a total of 14 patents to his name, Patel has made strides in optimizing job runtimes and ensuring safe deployments of machine learning models.

Latest Patents

One of Patel's latest patents is titled "Optimizing job runtimes via prediction-based token allocation." This innovation involves receiving training data that includes historical run data, job characteristics, runtime results, and token counts for various prior jobs. The process includes training a token estimator using a machine learning model, generating token prediction data for user-submitted jobs, and executing these jobs based on selected token counts. Another significant patent is "System and method for machine learning for system deployments without performance regressions." This patent outlines methods for designing pre-production experiments to assess the readiness of learned models, utilizing big data processing infrastructure, and ensuring safe deployment of machine learning features.

Career Highlights

Hiren Patel is currently employed at Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work focuses on enhancing the efficiency and reliability of machine learning systems, which is crucial in today's data-driven environment.

Collaborations

Patel collaborates with talented individuals such as Alekh Jindal and Shi Qiao, who contribute to the development and implementation of innovative solutions in their field.

Conclusion

Hiren Shantilal Patel's work exemplifies the impact of innovation in technology, particularly in machine learning and system optimization. His patents reflect a commitment to improving performance and efficiency in complex systems.

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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