● Co-developed the camera controller for the BRACH project, allowing for 3 unique types of cameras tointeract with 1 configuration driven interface, which then applied pre-processing and post-processingalgorithms to the images.● Implemented Gitlab CI/CD pipelines for multiple parts of the project which generated packages, Dockerimages, and applied semantic versioning, improving the team’s overall workflow and efficiency.● Setup and maintained a lab where cross-compiled code was tested on physical boards, cameras, andequipment, resulting in the Computer Vision team being 3 months ahead of schedule compared toother teams on the project.● Created web based client utilizing Rust’s Bevy Engine to provide users a visual interface and simulationfor the CV team’s custom Nvidia OptiX-based rendering engine.

● Building and deploying various solutions to improve office efficiency● Researched, advised, and created application to message list of 200+ alumni to ask for donations● Created web application that matches 100+ students receiving financial aid with grants based on the grants' requirements

● Designed process to apply Cypress’ automated user interface testing, accelerating testing time by 25%● Facilitated collaboration between 2 teams of up to 10 people through regular scrum standups andconcise sprints to achieve a common understanding of future steps● Authored detailed documentation on Node.js code modifications for Datava’s future use

● Organized grading of over 100 student assignments within 1 week of due date to ensure students had access to accurate grades● Answered Python coding inquiries from students during office hours