San Francisco, CA, United States of America

Arjun Krishnaiah

USPTO Granted Patents = 2 

Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 6(Granted Patents)


Company Filing History:


Years Active: 2021

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2 patents (USPTO):Explore Patents

Title: Inventor Spotlight: Arjun Krishnaiah

Introduction

Arjun Krishnaiah is an innovative inventor based in San Francisco, CA, known for his contributions in the field of machine learning and digital threat mitigation. With two patents to his name, he focuses on developing advanced systems that enhance automated decision-making processes.

Latest Patents

Arjun's recent patents revolve around "Systems and methods for anomaly detection in automated workflow event decisions in a machine learning-based digital threat mitigation platform." This innovative approach includes collecting a time-series of automated disposal decision data and utilizing various anomaly detection algorithms tailored to assess specific types of online abuse or fraud. His system evaluates these data streams to identify anomalies, compute their existence, and generate alerts, making significant strides in digital security.

Career Highlights

Currently, Arjun is affiliated with Sift Science, Inc., a leading company in fraud prevention and risk management solutions. His work emphasizes the importance of using machine learning to mitigate digital threats and improve automated workflows, showcasing his commitment to advancing technology in this critical area.

Collaborations

Throughout his career, Arjun has collaborated with talented professionals, including his colleagues Kostyantyn Gurnov and Vera Dadok. These partnerships foster a creative environment that encourages the development of groundbreaking solutions in the machine learning domain.

Conclusion

Arjun Krishnaiah exemplifies the spirit of innovation through his dedicated work in machine learning applications for digital threat mitigation. With his patents and collaborative efforts, he is poised to make lasting impacts on the industry and the way automated systems address online security challenges.

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