Digitizing and creating maps of livestock farms for modeling disease outbreaks, writing python scripts for data validation and clean-up, testing software, and communicating with stakeholders.

Taught basic map making with ArcMap and drone piloting to high school students with autism at the Science House, North Carolina State University.

Taught data structures and algorithms in C++, software engineering, and discrete math.

Taught C++ programming, object-oriented programming in Java, linear algebra, and Arduino programming and robotics.

Assisted teachers during class hours. Helped maintain institute's website.

Developed a sparse matrix solver recommendation system using a support vector machine (SVM). The SVM was trained with features extracted from 860 sparse matrices and the time it took to solve them with different combinations of solvers and preconditioners available in PETSc (a toolkit for scientific computation).