Hi! I'm a passionate developer and a Computer Science and Data Science student at the University of Wisconsin-Madison. I thrive on building impactful software, exploring innovative ideas, and turning visions into reality. From coding AI solutions and analyzing complex datasets to automating everyday processes, I love creating tools that make a difference. Collaboration and learning fuel my journey, and I’m always on the lookout for the next exciting challenge to tackle.
Paradigm Artificial Intelligence Inc
Mar 2025 - Present
Developed a health tech web app with Bespoke AI, cutting manual processing by 30%. Built a CI/CD pipeline for LLM integration and a Node.js wrapper for a Python PDF parser, improving error handling and reliability in automated medical report processing.
GeoDS Lab
Feb 2025 - Present
Processed FAF Zone-level food transportation data (132 zones, 17,424 links) to county-level granularity, boosting accuracy across seven agricultural categories. Built interactive visualizations and predictive models with Pydeck and Graph Neural Networks to analyze dynamics, improve accessibility, and enhance food flow estimations.
Center for Patient Partnerships
Feb 2024 - Jun 2025
Engineered a custom desktop application in Python using Tkinter and Openpyxl to automate payroll processing and streamline spreadsheet tasks. Included features such as funding string management and customizable report generation to improve financial accuracy and workflow efficiency.
Neotoma Paleoecology Database
Feb 2025 - Jan 2025
Built a Flask dashboard for human-in-the-loop annotation, aiding data curation for the Neotoma Paleoecology Database. Optimized publication verification with Neotoma and OpenAlex APIs, enhancing scalability, data validation, and ML readiness.
A VR survival horror game where players navigate a haunted mansion, avoid a monster, and collect scattered dolls to escape. Built in Unity with C#, the game features dynamic AI, interactive mechanics, and immersive horror elements. Key highlights include real-time monster behavior, flashlight-based defense, and atmospheric design optimized for VR.
Developed an intelligent AI for the Teeko board game using Python and the minimax algorithm, to generate legal moves and optimizing decision-making for both drop and move phases to ensure moves are completed within a 5-second time limit.
Developed an automated attendance system using Python, OpenCV, and Histogram of Oriented Gradients (HOG) for real-time face recognition, featuring facial encoding, recognition, and CSV-based logging, with enhanced accuracy through optimized image scaling and face matching techniques.
Python, Java, C, C#, Bash
React, JavaScript, HTML, CSS, Streamlit, Node.js
R, MySQL, PyTorch, TensorFlow, Scikit-learn, OpenCV
Docker, Git, AWS
Unity
Feel free to reach out for collaboration, questions, or just to say hi!