Spearheaded the establishment of the programming education committee, playing a pivotal role in its inception; Led and facilitated Python workshops and lectures in Jupyter Notebook for biomedical students, equipping them with essential skills in utilizing key Python libraries, including NumPy and Pandas; Empowered students with hands-on experience in data visualization and manipulation, fostering a solid foundation in programming for biomedical research

Developed an augmented reality space suit HUD with Unity Engine (C#) and Microsoft MRTK for NASA SUITS Challenge, which is contributing to future NASA Artemis missions; Implemented a messaging component to the project that would communicate with other users and MCC (Mission Control Center) that was similar to modern-day text messaging apps with group texts and direct messaging, using JSON, Python, and C#; Oversaw the vitals subteam, which was tasked with creating multiple screens that tracked up-to-date vitals data of the user sent from the MCC and would enter emergency states when faced with urgent situations

Organized information sessions and other recruiting events as well as help create the website, social media, and other marketing outlets, which generated 200 more applications to the club; Launched the start of CLAWS as an official organization at UMich that is now one of the largest project teams with over 50 members; Funded CLAWS’ NASA Houston trip that cost over $5000 with the Epic MegaGrant, a financial grant that is awarded to projects that enhance the open source 3D graphics ecosystem; Increased retention rate by 90% by conducting standup meetings that streamlined subteam communication and by organizing weekly community engagement events

Co-led public relations to grow Instagram followers by 18.5% and accounts reached by 500%,Directed CLAWS advertising efforts during campus events to vastly increase membership

Taught core programming principles in Python to military veterans and spouses for an extensive 15-week period coding bootcamp; Lectured about data structures and algorithms, starting from time and space complexity and later moving on to arrays/vectors, queues, stacks, and hash tables; Mentored students through one-on-one sessions, offering assistance with debugging their Terraform and GitHub Actions programs