I started my own computer vision research project under the guidance of Professor Benjamin Kuipers. In my research project, I designed and developed a computer vision system, inspired by the human fovea. I developed my computer vision system using Python with NumPy, OpenCV, and TensorFlow. In addition, I used GIT, Makefiles, and shell scripting to organize and make development more efficient.

I worked remotely as a computer science instructor for Juni Learning. As an instructor I taught students around the world in computer science fundamentals and advanced topics. In addition, based on positive reviews and feedback I was assigned to be a trial instructor, responsible for onboarding prospective students. I taught students in multiple different programming languages including Python, Java, JavaScript, HTML, CSS, and Scratch.

I worked as a research intern at the Shirley Ryan AbilityLab Center for Bionic Medicine. As a research intern, I worked on programming wireless sensors to filter and analyze the raw ECG and accelerometer data of patients to provide real-time feedback representing the effectiveness of treatments. In addition, I worked directly with patients and physical therapists to collect research data for ongoing studies and receive feedback on wireless sensors. I used Python, C++, and MATLAB to filter and analyze wireless sensor data.