Served as teaching assistant for first iteration of Cornell's undergraduate deep learning course. Wrote and graded exams, theory homework, and coding assignments. Held weekly office hours.
Worked with small team of students to design curriculum and course materials for a new course on deep learning
Owned development of course module on generative vision, designing slides, project, and theory assignment on topics including GANs, U-Nets, VAEs, and Diffusion Models.
