Abraham Starosta

Abraham Starosta is a Senior Applied Scientist at Splunk who specializes in Natural Language Processing (NLP) and machine learning problems.14 His work at Splunk includes:

• Developing streaming machine learning and NLP solutions1
• Working on anomaly detection4
• Training and deploying language models for tasks like code generation2

Prior to joining Splunk, Abraham's experience includes:

• Working as an NLP engineer at high-growth technology startups like Primer and Livongo14
• Interning at Splunk in 201414

Abraham's educational background includes:

• B.S. and M.S. in Computer Science from Stanford University14
• Research focus on weak supervision and multitask learning for NLP during his studies14

At Splunk, Abraham has been involved in several key projects:

• Developing an AI assistant for Splunk, including the "SPL Copilot for Splunk (beta)" which helps translate English queries into Splunk's Search Processing Language (SPL)2
• Working on machine learning initiatives to parse machine logs using NVIDIA's Triton and Morpheus platforms1
• Contributing to the development of machine learning applications like Anomaly Detection Assistant and Smart Alerts Assistant3

Abraham is part of Splunk's Applied Research Team, where he collaborates with other scientists and engineers to develop innovative machine learning solutions for Splunk's customers.123