Developed computer vision systems to support robotic arm operation. Main work involves using camera feed data through ROS pipelines to make decisions on robotic arm operation. Object detection and identification of keyboard keys done through training a machine learning model.
In my role as a Data Analyst / Accreditation Research Assistant at the Temerty Faculty of Medicine, I worked closely with medical professionals despite not having a clinical background. To ensure the insights I presented were meaningful and responsible, I independently studied accreditation frameworks, compliance rules, and inspection guidelines provided by the medical team. This allowed me to contextualize the data correctly and communicate insights in a way that supported expert judgment. The role strengthened my ability to collaborate across disciplines, rapidly self-learn unfamiliar domains, and deliver decision-ready analysis to subject-matter experts.
Teaching Assistant for courses:
My role was that of a tutorial TA. I solved practice problems in class that depened students understanding of lecture content. Teaching style was lecture like, where I wrote solutions to problems on the board (or computer screen for code) while also encouraging student participation in the step by step problem solving process.
Teaching undergraduate-level courses on the following topics :
I prepare and deliver lecturers for theory and lab courses, develop course material and lesson plans, evaluate the performance of students through exams, assignments, and tests, invigilate in exams, and collaborate with other faculty members to improve course materials and teaching methods.