Freelance AI Security Consultant – AI-Augmented Detection Engineering & Log Data Annotation
I developed and deployed AI-assisted detection logic leveraging large language models (LLMs) for log summarization, focusing on enhancing security alert triage for enterprise clients. My work applied LLM-based methods to automate and optimize cybersecurity incident detection, with processes grounded in OWASP LLM Top 10 best practices for AI application safety. The project centered on designing log data annotation tasks to train and evaluate AI models on summarization and security event classification. • Designed and implemented AI-augmented SIEM detection use-cases using annotated log data • Used LLM-driven summarization for alert triage and incident investigation • Conducted data labeling on text logs and security event records to train/fine-tune LLMs • Delivered training artifacts and evaluations to improve the accuracy of AI-driven detections.