I dove deep into robotics in undergrad. In addition to taking several classes across robot programming, 3D printing, and Arduino, I also spent over a year doing research in the Human Robot Interaction Lab under Dr. Sarah Sebo, where I co-authored a paper that was recently published!
Uniting computer vision, machine learning, and robotics to give a TurtleBot dance moves!
Research study that analyzed interpersonal dynamics in the presence of robot facilitators.
As models continue to advance, I've been exploring both how I can build my own models and how I can harness preexisting ones to create useful tools.
Using LLMs and computer vision to search for a treasure hidden in the Western US.
Employing sklearn & tensorflow to predict user consent to data collection.
In the modern world, data is the economy's most valuable resource. Since taking an intro to data science course in undergrad, I've been working to apply my understanding of how to clean and analyze data to solve real-world problems.
Harnessing pandas and datetime to enable YoY comps for Nike.
Feel free to reach out.