FastAPI backend that transcribes audio, performs speaker diarization, extracts key themes, and returns structured segment data for the TalkTrack plugin. Built with FastAPI, PyAnnote, Whisper, and Hugging Face Transformers.
AI-powered Adobe Premiere Pro plugin that automatically cuts, labels, and annotates interview footage using speaker diarization and topic analysis. Built with React (UXP) and integrated with a FastAPI backend.
Minimal Java CLI for 3x3 cube moves with colorized printing, history simplification, and solve-by-inversion. Demonstrates object-oriented programming and manipulating multidimensional arrays.
Collection of scrapers and visualizations to predict game outcomes based on statistical data from Sports Reference.
I’m a computer science student at the University of Montana, where I’m building a strong foundation in software engineering and AI systems. Before beginning my degree, I completed a full-stack development bootcamp that introduced me to the fundamentals of creating APIs and designing front-end interfaces.
Since then, I’ve gained experience working with Python, Java, and JavaScript and I enjoy applying these languages to projects involving open-source AI models, data analysis, and automation. My recent work explores how to develop and implement AI-powered backends to create useful, innovative, and practical tools. I’m currently expanding my skills through a machine learning and computer vision course with OpenCV.
I am also deeply interested in cloud architecture and DevOps. I use Docker to containerize applications - such as my TalkTrack demo - and am actively learning Kubernetes, AWS, and cloud infrastructure design through self-study.
I’m currently completing a Post-Baccalaureate in Computer Science at the University of Montana, maintaining a 4.0 GPA while studying algorithms, data structures, software engineering, and systems design. My coursework has deepened my understanding of computational problem-solving and clean, maintainable code architecture.
Prior to the program, I attended Montana Code School’s full-stack bootcamp, where I learned modern web development with JavaScript, React, Node.js, and RESTful APIs. Since then, I’ve continued expanding into Python, AI/ML, and cloud technologies through self-directed study and hands-on projects.
Professionally, I’ve worked as a Freelance Developer building production-ready applications and collaborating with a local creative agency on client projects. Highlights include a Poker Trainer App with real-time hand analysis in React, and a CustomTkinter GUI controlling Arduino-based water-sampling hardware.