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For the Inventor, By the Inventor

Snoqualmie, WA, United States of America

Muhammad Ali Siddiqui

USPTO Granted Patents = 23 

Average Co-Inventor Count = 4.8

ph-index = 9

Forward Citations = 344(Granted Patents)


Location History:

  • Seattle, WA (US) (2014)
  • Snoqualmie, WA (US) (2013 - 2020)

Company Filing History:

goldMedal23 out of 22,475 
 
Amazon Technologies, Inc.
 patents

Years Active: 2013-2020

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23 patents (USPTO):
1. 10555145 - Learned configuration of modification policies for program execution capacity (2020-02-04),
2. 10387785 - Data estimation (2019-08-20),
3. 10216560 - Integration based anomaly detection service (2019-02-26),
4. 9824146 - Using media events to predict time series data (2017-11-21),
5. 9619752 - Data estimation for storing correlated patterns of high frequency data sets (2017-04-11),
6. 9606899 - Software testing using shadow requests (2017-03-28),
7. 9571347 - Reactive auto-scaling of capacity (2017-02-14),
8. 9436535 - Integration based anomaly detection service (2016-09-06),
9. 9361379 - Systems and methods providing recommendation data (2016-06-07),
10. 9268663 - Software testing analysis and control (2016-02-23),
11. 9218437 - Systems and methods providing event data (2015-12-22),
12. 9112782 - Reactive auto-scaling of capacity (2015-08-18),
13. 9106589 - Predicting long-term computing resource usage (2015-08-11),
14. 9104964 - Data estimation of historical data that identifies fine grained time period data and coarse grained time period data and applies correlated slopes to time periods (2015-08-11),
15. 9058428 - Software testing using shadow requests (2015-06-16),

Title: Innovations by Muhammad Ali Siddiqui

Introduction

Muhammad Ali Siddiqui, based in Snoqualmie, WA, is an accomplished inventor with an impressive portfolio of 23 patents. His work focuses primarily on enhancing program execution capacity and data estimation, demonstrating a significant impact in the realm of technology.

Latest Patents

Siddiqui's latest innovations include a patent for "Learned configuration of modification policies for program execution capacity." This patent outlines techniques for managing program execution capacity for software programs across multiple computing nodes. The methods allow for dynamic modifications to program execution capacity by adding or removing computing nodes based on specific criteria. This innovation facilitates improved software performance for users by tracking changes in capacity utilization metrics and customizing capacity modification policies accordingly. Additionally, he holds a patent for "Data estimation," which involves estimating past data by identifying high-frequency datasets and applying calculated patterns to low-frequency datasets, thereby improving data accuracy over time.

Career Highlights

Siddiqui currently works at Amazon Technologies, Inc., where he contributes significantly to advancements in software execution and data analysis. His role involves leveraging his patented technologies to optimize program execution performance and enhance service delivery for users of Amazon's computational resources.

Collaborations

Throughout his career, Siddiqui has collaborated with talented professionals, including Kendra Anne Yourtee and Sanjeev Kewal Verma. These collaborations have likely played a crucial role in the development of innovative solutions in their respective fields.

Conclusion

With 23 patents to his name, Muhammad Ali Siddiqui stands out as a notable inventor in the technology sector. His contributions to dynamic program execution capacity and data estimation not only enhance software performance but also pave the way for future innovations in computational technology.

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