I am an accomplished robotics and industrial automation engineer with expertise in AI-driven path planning, computer vision, machine learning, and real-time control systems. With a strong background in ROS1/ROS2, deep learning frameworks, and embedded system development, I've demonstrated success in designing and implementing autonomous robotic systems that solve real-world challenges. During my time at Quest Industrial, I implemented over 15 automation systems that significantly enhanced safety and efficiency in the food processing and packaging sector, including leading their inaugural AGV project that boosted production line efficiency by 170%.
Currently, I'm pursuing dual master's degrees at Carnegie Mellon University (Robotic Systems Development) and the University of Wisconsin-Madison (Engineering Management), where I'm expanding my knowledge in advanced motion control and Human-Robot Interaction. My academic projects include developing Mono3DBox, an innovative 3D object detection algorithm, and contributing to autonomous decluttering robots with high-performance grasp success rates. My vision is to continue innovating AMRs for manufacturing and healthcare applications, driving advancements in robotics and AI to deliver high-impact solutions.
When I'm not designing robots or optimizing algorithms, you'll find me immersed in games like Monster Hunter, Identity V, and various indie titles. I'm a proud cat parent to Stitch and Lilo (photos coming soon!), and I have a passion for driving stick shifts. This balance of technical expertise and personal interests fuels my creative approach to engineering challenges and keeps me grounded in the human elements of technological innovation.
While my website is under development, I have created a simple game for you to enjoy!
Press SPACE or UP ARROW to jump over obstacles. How far can you go?