-Serving on the nonprofit’s Board of Directors-Assisting in logistical planning, marketing, and the use of information technology-Aiding in the board’s adoption of modern technology to speed up workflow, to automate systems, and to expedite outdated processes

-Developed an automation tool designed to backtest and analyze newer versions of time-series machine learning models using Java, Typescript, and Python-Attended daily stand-up meetings with team and check-in meetings with manager and mentor-Presented the results of project to engineers across the department and department heads

-Developing a Python-based temporal knowledge graph for use in the United States Intelligence Community to monitor malign influences abroad -Works on interoperable and modular software development with machine learning, data science, and artificial intelligence -Creates graph-based algorithms, renormalizes data, and creates representations of data -Tasked to work in a team environment to develop causally-aware and explainable AI methods and components

-Spearheaded a passion project to create an accessible resource to teach embedded systems programming in C++ to middle and high school VEX Robotics competitors -Supervises a team of 4 people to ensure optimal project workflow and exceptional results-Oversees development of lessons and activities ranging from beginning to intermediate level C++-Working as a full-stack developer on website design and functionality using WordPress-Maintaining constant communication with local competitors and organizations to ensure the most optimal experience for users of the website-Resource will be released and used by 200+ competitive robotics students

-Programming and applying computer vision algorithms to an autonomous aerial vehicle designed to compete in the AUVSI SUAS 2022 flight competition. -Utilizes neural networks, Python YOLOv5, k-means clustering, one stage object detection architecture, and imaging algorithms to accomplish shape recognition, color detection, and letter detection. -Developing, implementing, and deploying Python software modules onto an Nvidia Jetson Nano and Raspberry Pi 4B.