

Hi! I am a student at the University of North Carolina at Chapel Hill double majoring in Computer Science and Statistics and Analytics. I have a passion for software engineering, doing research, and building meaningful projects. I enjoy working across the stack, from designing backend systems and APIs to building data pipelines and integrating machine learning models. Most of my work is centered around solving practical problems, whether that is improving system performance, analyzing real-world data, or creating tools that are actually useful outside of a classroom setting.
Outside of class, I spend a lot of time staying active and competitive. I play football and chess, train boxing, and probably spend more time than I should on Rocket League.I like building things that actually work, figuring out hard problems, and getting better every time I sit down to code.
Software Engineering Intern
- Built a token based authentication system in Python and Java that increased login success by 30% and reduced reported issues by 25%
- Cut page load times by 1.2 seconds by optimizing API calls and shipping mobile first updates across the platform
- Deployed features to over 5,000 accounts working with a team of 5 engineers in Agile sprints

Research Intern
- Achieved 95% classification accuracy detecting CAN bus cyberattacks across 5 ML models including Random Forest, KNN, SVM, and Isolation Forest
- Boosted detection performance by 20% through feature engineering and cross validation pipelines
- Co authored a peer reviewed paper presented at the 2024 icABCD Conference on automotive cybersecurity

Computer Support Technician
- 90% first contact resolution rate across 150 plus faculty, staff, and students
- Reduced new user downtime by 35% by completing 100 plus hardware and software setups
- Led onboarding sessions for 50+ users on personal and university issued devices

AI medical bill auditor. End to end pipeline that ingests itemized bills and surfaces pricing anomalies, duplicate charges, and overbilling.
Real time NBA analytics dashboard. Aggregates live game data and betting odds across 3 plus APIs and surfaces favorable prop bet opportunities.
Full stack AI code review tool. Analyzes code via the OpenAI API and surfaces bugs, security issues, and style improvements across 10 plus languages.
Full stack platform that calculates optimized payment splits across any group size. Eliminates manual balance tracking with an O(n) debt resolution algorithm.
Real time collaborative task management platform. Reduced sync latency from seconds to milliseconds for concurrent users with WebSocket based updates.