Software Engineer Intern
•Developed an automated baselining tool in Splunk that monitored error rates within sliding time windows, successfully identifying and reporting anomalous activities.•Reduced ineffective Splunk alerts by 30% by creating a Python script to audit and remove redundant or low-value alerts, optimizing system efficiency.•Reviewed over 3000 user sessions on the Erica team, providing critical insights that informed improvements to the user experience.•Architected a solution using Large Language Models (LLMs) to analyze and condense user feedback into common complaints. This involved training models on user data, clustering similar feedback, and generating concise summaries for actionable insights.