Brian McGough

With over 8 years of experience in software engineering, I've been at the forefront of developing innovative AI-driven solutions for complex business challenges. For the past 4-5 years, I've led large-scale projects and delivered production-ready AI tools that have transformed operational processes.

My current focus is on revolutionizing Risk and Control Self-Assessment (RCSA) processes through advanced AI technologies. As the developer of a cutting-edge RCSA builder, I'm leveraging the power of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI solutions to create more efficient, accurate, and insightful risk management tools. I'm particularly interested in developing novel ways to digest and leverage proprietary, unstructured data sets in AI solutions, unlocking valuable insights previously hidden in complex corporate data.

I've been driven by the potential of AI to solve real-world problems, and I'm especially excited about the potential to augment the risk management space by combining deep technical knowledge with practical business applications.

I'm a firm believer in the transformative power of technology in risk management. My goal is to continue pushing the boundaries of what's possible, creating tools that not only streamline RCSA processes but also provide deeper, more actionable insights for businesses.

Outside of my professional work, I enjoy contributing to open-source projects and participating in tech meetups. I'm always eager to connect with fellow innovators and discuss the evolving landscape of AI in risk management.