CV

B.S. in Computer Science (College of Engineering)

• GPA: 4.05
• Relevant coursework: Deep Learning, Computer Vision, Systems Organization, Algorithms, Machine Learning, Discrete Math, Data Structures, Functional Programming (OCaml), Linear Algebra, Differential Equations, Multivariable Calculus, iOS Development

Bowers Undergraduate Research Experience (BURE) — CIDA Grant Recipient

• Computer vision pipeline for dairy calf behavior analysis from overhead video
• Pose classification using self-supervised DINO features
• YOLO fine-tuning on self-annotated livestock dataset
• Evaluation of VLMs for pose recognition and eartag identification
• Interactive Jupyter workflow for veterinary researchers

Primary Author — Research in Economics

React.js, Backend Integration, REST API · GitHub

• Designed and implemented the frontend for Traveling Salesman, a conversational flight search tool with an interactive trip planner
• Built React.js UI with split-screen chat, interactive 2D/3D map, and collaborative trip sharing; integrated with FastAPI backend via REST

Full-Stack, React.js, Claude API, REST API · GitHub

• Designed and implemented full-stack application with React frontend and Node.js backend
• AI-powered task verification via Claude API; automated accountability system with email notifications
• Top 5 out of 40+ teams in course competition

Python, PyTorch, MusicAutobot

• Trained transformer models on 20k+ MIDI files from MAESTRO and Lakh datasets
• Compared CNN, RNN, LSTM, and Transformer architectures for musical coherence

Volunteer online programming education during COVID-19

• Taught Python, Java, and C/C++ to elementary and middle school students
• Reached 300+ students across multiple U.S. states

• Machine learning and computer vision — deep learning for perception and recognition
• AI for science and real-world systems — using ML to accelerate research domains
• Representation learning and foundation models — self-supervised and pretrained models
• Data-efficient learning methods — few-shot and weakly supervised approaches

• CIDA Grant Recipient
• 4× AIME Qualifier
• USACO Silver Division
• Conestoga High School CS Department Award