I'm an engineer who finds automating solutions to problems extremely gratifying. I want to live in a world where people spend the majority of their lives exploring hobbies, appreciating art, building communities, and enjoying leisure instead of working ungratifying jobs, worrying about having resources to live, living in isolation, and generally being stressed. I believe automating problems is the path towards this world.

It’s fun to work through tough technical problems. Every automation task has unique mechanical, electrical, and software lessons that teach me how to build more sophisticated, compact, and automated future machines. In my academic career, I aim to go through as many of these problems as possible to become an expert roboticist.

Today, I want to develop a deep understanding of autonomous aerial vehicle control. I believe unmanned aerial vehicles (UAVs) have the potential to automate many of today’s repetitive yet important tasks. So far, I’ve developed a strong mix of theory and practice for the mechanical design, manufacturing, and assembly of drones alongside component implementation and setup (like flight controllers, ESCs, and telemetry). I’ve even competed twice at the Collegiate Drone Racing Championship where I practiced my first-person view drone racing skills.

Now, I want to go into graduate school to learn and advance the field of robotic control. I want to learn control schemes like incremental non-linear dynamic inversion, computer vision methods like visual-inertial odometry, and robot cooperation infrastructures like drones working together in networks. I then want to use these lessons to invent new, advanced methods of control, computer vision, and robot cooperation. I believe that these new methods will help make machines more independent, be able to solve serious world problems, and allow people to live more fulfilling lives.

Feel free to read through my projects and see what I learned from each!