I am a recent graduate of the Master’s program at the Minnesota Robotics Institute (MnRI) at the University of Minnesota, Twin Cities where I specialized in robot cognition. My journey in engineering began with a Bachelor’s degree in Mechanical Engineering from the same institution, providing me with a strong foundation in engineering principles and problem-solving.
Currently, I work as a Field Service and Controls Engineer at PAR Systems, where I combine my technical expertise with a hands-on approach to implementing and optimizing industrial automation solutions. This role allows me to bridge the gap between advanced technology and practical application, contributing to the efficiency and precision of automated systems in real-world industrial environments.
My academic and professional experiences have cultivated a deep interest in leveraging advanced technologies like Large Language Models (LLMs) to enhance industrial automation. During my graduate studies, I explored the transformative potential of LLMs in enabling intelligent decision-making and reasoning within robotic systems. I am particularly fascinated by how these models can interpret unstructured data, integrate with automation workflows, and drive innovative solutions in manufacturing and beyond.
With a focus on the intersection of industrial automation, robotics, and AI, I am driven by a passion for solving complex challenges and advancing the capabilities of intelligent systems. Whether optimizing robotic processes or exploring cutting-edge applications of LLMs, I am committed to pushing the boundaries of what’s possible in this exciting field.
MS in Robotics, 2023 - 2025
University of Minnesota
BS in Mechanical Engineering, 2020 - 2023
University of Minnesota
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities include:
Responsibilities included:
Responsibilities included: