I build intelligent systems that solve real-world problems through advanced machine learning and multi-agent architectures.
Currently working as an AI Systems Engineer at Easley Dunn Productions, developing multi-agent deep reinforcement learning systems for game AI. Previously developed intelligent file organization systems and influenza detection models using transformer architectures.
I specialize in natural language processing, multi-modal AI systems, and graph neural networks. My recent work involves developing multi-agent architectures for complex problem-solving, implementing semantic search systems, and exploring AI safety through systematic evaluation of model robustness.
I'm actively engaged in advancing AI capabilities through projects like ArXiv research agents with sophisticated workflow orchestration, and comprehensive analysis of LLM security vulnerabilities using Monte Carlo Tree Search for adversarial prompt generation.
Always eager to collaborate on challenging AI projects that push the boundaries of what's possible with machine learning and artificial intelligence.