Seattle, WA, United States of America

Chris Martin

This inventor holds 1 USPTO granted patent. Top assignee: K2 Network Labs, Inc.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chris Martin. Retrieved from https://idiyas.com/inventor/chris-martin-1lwlu4tk

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Chris Martin - Innovator in Data Processing

Introduction

Chris Martin is an accomplished inventor based in Seattle, WA. He has made significant contributions to the field of data processing, particularly through his innovative patent that focuses on orchestrating automated data processing and transformation. His work is instrumental in enhancing data privacy and efficiency in data handling.

Latest Patents

Chris Martin holds a patent titled "Data processing orchestrator utilizing semantic type inference and privacy preservation." This patent outlines a method and system for orchestrating automated data processing. The centralized orchestrator receives requests to process client datasets and initiates a data ingestion process to obtain sample data. A semantic analysis module analyzes the sample data to determine the semantic types of data fields. The transformation module generates data transformation instructions based on these determined semantic types. The orchestrator then deploys a data processing pipeline to a client-controlled environment, configuring privacy preservation parameters to identify and obfuscate potential personally identifiable information. The pipeline applies the transformation instructions and privacy parameters to the dataset, ensuring secure and efficient data handling. A configuration module determines data storage configurations for the transformed dataset, which is stored according to the configurations in a client-controlled or cloud environment. Additionally, a machine learning module generates a model based on the transformed dataset, which is stored in a model repository accessible to the client.

Career Highlights

Chris Martin is currently employed at K2 Network Labs, Inc., where he continues to innovate in the field of data processing. His expertise in semantic analysis and privacy preservation has positioned him as a key player in the development of advanced data processing solutions.

Collaborations

Some of Chris's notable coworkers include Harrison Dahme and Jason Johnson, who contribute to the collaborative environment at K2 Network Labs, Inc. Their combined efforts enhance the company's innovative capabilities.

Conclusion

Chris Martin's contributions to data processing through his patent demonstrate his commitment to innovation and privacy preservation. His work at K2 Network Labs, Inc. continues to influence the industry positively.

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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