- As Software Team Lead, organize and maintain flight and ground software for launch- Oversee and ensure quality development of semester software initiatives and responsibilities

- As project manager, I lead team meetings of 23 students, interface between mechanical/software/science teams, and organize launches- Guide goals and direction of the research group, such as development of electric field sensor, and ensure successful launches

- Launch high-altitude balloons with electronics and software designed to track atmospheric electrical phenomenon- Initiated development of ground station software using OpenMCT with Node.js backend and PostgreSQL relational database along with Python radio drivers to display dashboard of live flight data and images along with pre-flight prediction software

- Implement front-end website redesign through Hubspot using HTML, Javascipt, and CSS in order to increase website interaction during new product launch- Develop admin panel for FutureScore app using React to authorize restricted access to user information- Evaluate admin requirements as a team and translate wireframe design into code in order to create an intuitive platform to organize users and partners for potential customer service use

- Engage in a number of research projects under the guidance of Professor Wei Xu- Evaluate AI generated sentences and create data annotations in order to improve current automatic text simplification

- Performed release agents tests such as free fatty acids, peroxide value, and smoke points - Coordinated a research project aimed at forecasting commodities’ futures pricing and crafted a report that provided insight into soybean market prices and changes, and how they are affected by trade and policy, vaccines and coronavirus, weather, and the biofuel industry

- Constructed sentence pair alignments using annotation software to detect and classify subjective bias in text to be used as the training data set in a machine learning project - Analyzed COVID-19 related tweets and classified them according to predefined categories such as positive test results, denied access to testing, and others in order to enable automatic identification of COVID-19 events on Twitter