Summary
Andrew Mitchell is an MS Computer Science graduate specializing in AI-driven decision-making, with eight years of experience and a focus on heuristic search, motion planning, and reinforcement learning. His master's thesis reframes real-time heuristic search as decision-making under uncertainty, combining theoretical rigor with practical robotics applicability. Comfortable with probabilistic models and motion planning, he bridges academic research and implementable solutions for autonomous systems. Based in Londonderry, NH, he brings sustained dedication to the field evidenced by targeted coursework and a GitHub emphasis on heuristic and motion-planning problems. Colleagues can expect a researcher-engineer who favors principled approaches to real-world uncertainty and iterative improvement.
8 years of coding experience
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at University of New Hampshire