Projects
Things I've built or (co-)led the production of. Non-internship or work-related projects.
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Building an AI-driven food tracking platform with 5M+ downloads, $2.5M+ in MRR, and 100k+ five-star App Store ratings. Leading the machine learning infrastructure team (CV and NLP systems) to enable seamless, low-friction meal logging. Featured on Forbes, CBS, TechCrunch, Good Morning America, and more.

Youngest GillingsX TED presenter. Built the first AI-driven youth mental health platform integrating 5,000+ scraped and open-sourced data points. Visualizes disparities via interactive heatmaps, combining prevalence, access, and outcome data across gender, race, and geography.

Founder of Ocal.ai, a B2B AI platform revolutionizing student productivity through intelligent scheduling. Ocal seamlessly integrates with Canvas, email, and other mediums to auto-import tasks, optimize study plans, and personalize routines. Each user is assigned an isolated AI model, ensuring full compliance with FERPA and COPPA for secure, data-driven academic success.

Founded UNC Chapel Hill's premier startup group. Built website to recruit members, manage events, and share resources. Main recruitment website is a 4000+ line codebase that simulates a CLI. CSG connects select students and startups on campus to national companies, angel investors, and venture capitalists to help them grow.

Volunteer Calculus I–III tutor at UNC Chapel Hill. Leverage CS background to teach concepts through code and real-world applications, emphasizing skills relevant to quant finance, software engineering, and machine learning.

Led development of an incremental learning portfolio optimization project using mean variance optimization, Markowitz's Efficient Frontier, and Hidden Markov Chains under PI Dr. Ivan Cherednik. Presented at UNC Chapel Hill's Undergraduate Research Symposium in April 2024.

Conducted research through RAAO on underrepresented communities, socioeconomic barriers, and historical trends to establish a safe urban environment for all Rochester residents on behalf of RAAO. Collaborated with Darian Du to lead diversification efforts in Rochester, MN.

I developed AI models during an independent study under Mr. Eric Dirks at Mayo High School. I built a GPT-3.5 detection system using RoBERTa and Bayesian analysis. I designed a Bluetooth-only network tested over 1500 ft in 3D space and a PyTorch HMM to convert mouth movements into subtitles. My final project trained a generative language model in PyTorch with self-curated data to match early GPT-2 performance.

Worked with team of 4 (Cooper Gamble, Benjamin Erickson, Marc Zoghby, and Phillip Wisnewski) to top 19% among 650 submissions. Developed mathematical models to analyze global e-bike sales, assessing impact on carbon emissions, traffic congestion, and health, quantifying effects on reducing use of other transportation modes.

Founded and developed a CLI-based application used by 250+ users to automate buying sneakers. Reverse-engineered APIs, websites, and mobile apps of multi-billion dollar companies like Target, Yeezysupply, Footlocker, Nike, and many more. Open-sourced the first ReCAPTCHA v2 computer vision (PyTorch) solver. Wrote scalable APIs to handle 100,000+ requests per second.