Jeevan Tambuluri

Title: Innovations of Jeevan Tambuluri

Introduction

Jeevan Tambuluri is an accomplished inventor based in Los Altos, California. He has made significant contributions to the field of machine learning, particularly in the area of anomaly detection. With a total of four patents to his name, his work is at the forefront of technological advancements in security-related event monitoring.

Latest Patents

Jeevan's latest patents include "Machine learning based anomaly detection initialization" and "Machine learning based anomaly detection and response." These technologies focus on utilizing machine learning to detect anomalies in production events. They involve the construction of activity models on a per-tenant and per-user basis, transforming unsupervised learning problems into supervised ones. The patents detail methods for responding to detected anomalies in near real-time, analyzing categorized features, and determining anomaly scores based on likelihood coefficients and probability values.

Career Highlights

Jeevan currently works at Netskope, Inc., where he applies his expertise in machine learning to enhance security measures. His innovative approaches have positioned him as a key player in the development of advanced anomaly detection systems. His work not only improves security protocols but also contributes to the overall efficiency of production environments.

Collaborations

Some of Jeevan's notable coworkers include Ariel Faigon and Krishna Narayanaswamy. Their collaborative efforts in the field of machine learning have led to significant advancements in the technology used for anomaly detection.

Conclusion

Jeevan Tambuluri's contributions to machine learning and anomaly detection are noteworthy. His patents reflect a deep understanding of complex systems and a commitment to enhancing security measures in production environments. His work continues to influence the field and drive innovation forward.