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.
mcSquared AI
Built a generative engine optimization (GEO) tool with a team, leveraging live and offline LLMs, prompt generation, content retrieval, and KPI-driven feedback loops to iteratively improve LLM ranking and product performance.
Shipped and optimized full-stack features with Angular, Node.js, and Supabase, improving page load by 25%, cutting API latency by 35%, strengthening backend reliability, and enhancing an AI-driven resume scoring system.
Paradigm Artificial Intelligence Inc
Engineered LLM-backed health tech infrastructure, integrating Bespoke AI, CI/CD pipelines, and a decoupled Node.js–Python document processing system to reduce manual effort by 30% and improve system reliability.
Developed a county-level food flow modeling pipeline by rezoning FAF transportation data (132 zones, 17K+ links) and developing Pydeck visualizations and GNN models for multi-scale prediction and analysis. Co-Authored — DOI: 10.1145/3748636.3764168
Center for Patient Partnerships, Madison WI
Built a Python desktop app using Tkinter and Openpyxl to automate payroll and spreadsheet tasks, improving financial accuracy and efficiency, while maintaining the organization's website and IT operations.
Built a Flask-based annotation and verification system for the Neotoma Paleoecology Database, using PostgreSQL and Neotoma/OpenAlex APIs to scale data curation and improve ML-ready data quality.
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.
Built an Electron-based desktop AI note-taking app in 24 hours, enabling real-time transcription, speaker detection, and automatically structured notes.
Developed a Twilio-integrated AI voice receptionist using RAG and offline inference to deliver fast, context-aware call responses.
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!