Gurugram, India

Akash Singh

This inventor holds 3 USPTO granted patents and 2 published patent applications. Top assignee: Salesforce, Inc.. Active years: 2025-2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Akash Singh. Retrieved from https://idiyas.com/inventor/akash-singh-moy17t38

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

USPTO Granted Patents = 3 

% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025-2026

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3 patents (USPTO):Explore Patents

Title: Akash Singh - Innovator in Synthetic Data Generation

Introduction

Akash Singh is a prominent inventor based in Gurgaon, India. He has made significant contributions to the field of machine learning through his innovative patent. His work focuses on enhancing the capabilities of predictive models by utilizing synthetic data.

Latest Patents

Akash Singh holds a patent for a method and system for synthetic data generation for machine learning model simulation. This patent outlines a process that receives a schema configuration file in a synthetic data set request from a client application. It creates a set of worker processes to generate the synthetic data set based on the schema configuration file. The generated synthetic data is then uploaded to an analytics platform, enabling the client application to utilize it in prediction models for the analytics platform.

Career Highlights

Akash Singh is currently employed at Salesforce, Inc., where he continues to innovate and contribute to advancements in technology. His work at Salesforce has positioned him as a key player in the development of machine learning solutions.

Collaborations

Some of his notable coworkers include Debadri Basak and Mohan Krishna Kusuma, who collaborate with him on various projects within the company.

Conclusion

Akash Singh's contributions to synthetic data generation are paving the way for more effective machine learning applications. His innovative approach is set to influence the future of data analytics and predictive modeling.

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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