Conor is a Software Engineering Intern at Stratotegic, where he focuses on developing AI models to predict stratospheric wind and embedded systems. Conor's work includes creating a high-performance 4D database to analyze large-scale wind data and implementing machine learning techniques based on stratospheric flow fields to improve navigation and path planning in complex environments. With a strong foundation in physics and computing, Conor is also pursuing a Bachelor of Applied Science in Engineering Physics at Queen’s University. His academic background, combined with his practical experience, equips him to develop innovative AI-driven solutions for complex aerospace systems and beyond.