
Computer science student and AI researcher with expertise in agentic AI, natural language processing, and scalable data architectures. Currently serving as a technical AI safety fellow, specializing in the development of interpretable and aligned machine learning systems. Demonstrated success in architecting end-to-end machine learning pipelines, addressing complex civic challenges through predictive analytics. Aiming to enhance high-performance computing environments by integrating safety research with production-grade engineering.
PulseKE: Agentic AI Sentinel for Public Intelligence
TaiEye: Real-Time Misinformation Detection
SpeakSafe: Safety & Trust Architecture