Curriculum Developer (Internship, Remote) at Institute of Algorithmic Trading and Applied Computational Finance
Developed an LLM-powered automated feedback system for educational assessments. Implemented personalized, scalable feedback using OpenAI’s GPT-3.5 Turbo with a Streamlit interface. The system reduced assessment response time while improving the ability to deliver individualized learning feedback. • Built an automated feedback workflow leveraging an LLM. • Delivered personalized feedback using a Streamlit-based application. • Reduced assessment response time by 90% for faster turnaround. • Produced components used to assess and iterate on learner responses at scale.