Currently working on a project with another undergraduate researcher to build a computer vision model capable of identifying foreign objects in an assembly space.

Taught lessons in memory allocation, object and data-type basics, recursion, and coding standards. Provided clarification to junior TAs for ambiguous assignment instructions and grading rubrics. Led review sessions to explain frequently missed test questions and difficult concepts.

Tutored students in object oriented programming and Java fundamentals. Graded physical exams in which students wrote classes/methods in Java. Aided the course instructor in organization and oversight of the course.

Focused on Web3 market research for potential investment opportunities.Conducted market research for potential venture investments in the Web3 space. Wrote investment memos that included detailed descriptions of company financial data as well as the product/service provided. Organized spreadsheets that included relevant data on the team's investments. Conducted in depth research on the up and coming Web3 metaverse space and created a presentation detailing the primary competitors along with their various value propositions and tokenomics.

Studied Neural Networks, under Emory Professor Wildani. Using Python, Google Colab, and Tensorflow, built a Machine Learning model and tool to predict the optimal defensive play for a given offensive alignment in football. Analyzing the (X, Y) positions of all players on the field, my ML model learns which defensive scheme best counters a given offensive play and then recommends the optimal play strategy.

Using Dart and Flutter, designed & implemented full-stack software for the Social Commerce platform, to connect small businesses with their local communities.