About me

Founder, CEO & President

• Founded and lead an independent software studio building consumer mobile and web applications, APIs, games, and websites from concept through deployment.
• Developed a grade-tracking and projection app in TypeScript and React with 475K+ impressions and 35K+ downloads.
• Built and launched a consumer cosmetics e-commerce app enabling mobile and web ordering.
• Lead full product lifecycles: backend API development, database design, deployment, and feature iteration.

AI & Technology Research Intern

• Conducted comparative research on LLMs, embedding models, rerankers, RAG systems, and AI evaluation frameworks to support product strategy and client-facing technical decisions.
• Compared AI models and architectures across recall, latency, cost, infrastructure requirements, multilingual performance, and public benchmark results to identify practical tradeoffs.
• Delivered weekly technical presentations and written research summaries to senior company stakeholders, translating complex findings into recommendations and areas for further validation.

Game Developer

• Designed, developed, and published multiple games with thousands of plays and strong engagement.
• Founded and led an online gaming organization with 15,000+ members during the COVID-19 pandemic.
• Commissioned by external groups to build custom games aligned with client goals and timelines.

Scribe / Secretary (Executive Board)

• Managed chapter documentation, compiled the Annual Chapter Expectations report, and liaised with the university and AEPi Nationals.
• Organized alumni and Parents' Weekend events and supported annual budgeting decisions totaling $340K.
• Designed and built the chapter website.

Member

• Professional engineering fraternity at the University of South Carolina.

Scribe / Secretary

• Support organization operations, communication, and event coordination.

Incoming Undergraduate Research Assistant

• Selected to join a research team developing an AI-based system for maritime trajectory planning and navigation.
• Expected to support the development and evaluation of intelligent navigation methods for U.S. Navy ships.

ASSET Hackathon

• Built a custom inference model using Gaussian Process Regression to predict missing values in incomplete datasets.
• Designed a system to generalize from existing data and improve prediction accuracy on sparse inputs.
• Collaborated in a team environment to develop and present a working solution within a limited timeframe.