Berlin, Germany

Ritesh Puj

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


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ritesh Puj - Innovator in Semantic Data Determination

Introduction

Ritesh Puj is a notable inventor based in Berlin, Germany. He has made significant contributions to the field of data analysis and security through his innovative patent. His work focuses on enhancing the understanding and processing of metadata in data strings.

Latest Patents

Ritesh holds a patent titled "Semantic data determination using a large language model." This patent discusses techniques for automatically determining metadata for fields of a data string, byte slice, or byte array using a semantic data model framework (SDMF) and a large language model (LLM). The LLM can provide field descriptions to the SDMF, which outputs additional or finer field descriptions. The techniques can include determining descriptions for fields of a non-standardized data string from a third-party or other entity, thereby enabling analysis of third-party data strings for potential security threats. These techniques can significantly reduce the time required to identify missing metadata caused by the lack of standardization of field names and evolving data feeds.

Career Highlights

Ritesh is currently employed at CrowdStrike, Inc., where he applies his expertise in data security and analysis. His innovative approach has positioned him as a valuable asset in the tech industry.

Collaborations

Ritesh has collaborated with talented individuals such as Arnd Korn and Erdem Toraman. Their combined efforts contribute to advancing the field of semantic data determination.

Conclusion

Ritesh Puj is a pioneering inventor whose work in semantic data determination is shaping the future of data analysis and security. His contributions are essential in addressing the challenges posed by non-standardized data and enhancing the understanding of metadata.

Profile summary based on public USPTO records.
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