Om Rajyaguru

Om Rajyaguru is an Applied Scientist at Splunk working primarily on designing, fine-tuning, and evaluating multi-agent LLM systems, along with working on time series clustering problems. He received his B.S. in Applied Mathematics and Statistics in June 2022, where his research focused on multimodal learning and low-rank approximation methods for deep neural networks.

Artificial Intelligence 12 Min Read

Building an AI Assistant in Splunk Observability Cloud

Interact with observability data and compose workflows using natural language in Splunk Observability Cloud with AI Assistant.

Artificial Intelligence 9 Min Read

Generative AI for Metrics in Observability

Exploring the challenges and methodologies involved in using large language models (LLMs) to generate SignalFlow programs.

Artificial Intelligence 7 Min Read

ML-Powered Assistance for Adaptive Thresholding in ITSI

ML-Assisted Thresholding provides recommendations for time policies, algorithms, and thresholds for Splunk ITSI adaptive thresholding.

Artificial Intelligence 8 Min Read

Building an 'AI Assistant' for Splunk

Thanks to early adoption and continuous product improvement, we were able to improve the SPL Copilot for Splunk to provide a much richer and guided experience to Splunk and SPL and renamed it 'Splunk AI Assistant.'

Splunk Life 5 Min Read

Meet the Splunktern: Om Rajyaguru

In this next installment of our “Meet the Splunktern'' series, we’re featuring Om Rajyaguru, our Machine Learning Research intern. Om is currently an Applied Mathematics and Statistics student at North Carolina State University. This month, Om was named Splunktern of the Month!