Purley, United Kingdom

Arjun Singh Gill

This inventor holds 1 USPTO granted patent. Top assignee: Darktrace Holdings Limited. Active years: 2026.


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Arjun Singh Gill: Innovator in Cloud Architecture and Machine Learning

Introduction

Arjun Singh Gill is a prominent inventor based in Purley, GB. He has made significant contributions to the field of cloud architecture and machine learning, particularly in the area of anomaly detection. His innovative approach has led to the development of a patented technology that enhances the efficiency and effectiveness of network security.

Latest Patents

Arjun Singh Gill holds a patent for "Endpoint agents and scalable cloud architecture for low latency classification." This invention involves a classifier that detects anomalous activity and models a pattern of life of network entities through a series of machine learning models. These models cooperate with multiple response and training instances, which are served by a scalable cloud platform. The system receives data associated with processes from multiple endpoint agents, allowing for real-time detection and response to potential threats.

Career Highlights

Arjun is currently employed at Darktrace Holdings Limited, where he applies his expertise in machine learning and cloud architecture. His work focuses on developing scalable solutions that can automatically adjust to varying data loads, ensuring optimal performance in detecting and responding to anomalous activities within networks.

Collaborations

Some of his notable coworkers include Maximilian Noka and Davide Bernardi, who contribute to the innovative environment at Darktrace Holdings Limited. Their collaborative efforts enhance the development of advanced technologies in cybersecurity.

Conclusion

Arjun Singh Gill's contributions to cloud architecture and machine learning exemplify the impact of innovative thinking in the field of cybersecurity. His patented technology not only improves the detection of anomalous activities but also sets a standard for future advancements in network security.

Profile summary based on public USPTO records.
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