Building a product from 0 -> 1 with a team of four at USC’s premiere student-run product incubator

Tutoring students in CSCI 170: Discrete Methods In Computer Science (Fall 2024) - topics include graph theory, first-order logic, asymptotic analysis, probability, and induction.

- Developed a responsive Flashcard UI using React and Bootstrap components, enhancing user engagement and usability- Conceived an early access landing page complete with login authentication in React, resulting in 3,000+ early access user signups- Leveraged Meta's Llama AI model in a Python environment to create adaptable summaries of multimodal uploaded notes

- Led the development of a scheduling feature for home automation "scenes", utilizing Ember and C# in an Agile environment- Designed and implemented SQL tables; developed a backend manager, optimizing storage efficiency and schedule execution- Wrote thorough unit tests in C# paired with effective Git source control to ensure best CI/CD practices, reducing bugs significantly- Transitioned 3+ legacy ASPX pages to modern JS frameworks (Ember), ensuring seamless integration and improved functionality

- Utilize HTML/CSS to maintain and edit the USC Theta Tau website, ensuring full functionality coupled with constant updates- Curate custom graphics for multiple media platforms, boosting interest rates by 17% amongst 200+ potential new members- Edit videos with Vegas while expanding to relevant platforms such as YouTube and TikTok, amassing thousands of engagements

- Communicated and collaborated with management, kitchen/serving staff, and guests to ensure quality and satisfaction- Organized atmosphere by taking calls/reservations, bussing tables, stocking inventory, and preparing takeout orders- Greeted, assigned, and escorted 200+ patrons per shift to tables by utilizing OpenTable software

- Taught 10+ students challenging math concepts through structured guidance and self-curated problem sets- Trained students in preparation for math contests by introducing new strategies and produced multiple competition winners at local/state levels

- Applied Python techniques with related packages to clean and analyze actual Netflix data drawn from open datasets- Employed Python packages such as NumPy, Pandas, and Matplotlib to create intricate visualizations displaying trends in data- Determined the main drivers of society’s media viewing habits by extracting patterns from the data