A reinforcement learning-based study showing that RL agents outperform rule-based strategies in market entry and exit scenarios, revealing deeper insights into microeconomic decision-making.

We use AI agents and word embeddings to help players identify clues in the board game Codenames, showing how AI can effectively guide teams toward the correct words.

We use a GAN to learn Polish handwriting from unlabeled image snippets, aiming to improve recognition without requiring labeled data.

A small web app for hosting user profiles and photos, built with NextJS and MongoDB, hosted on Vercel.

A professional website I built for an Ecuadorian folklore dance group, which improved my UX and CSS skills.

Built a system where natural language questions are converted to SQL queries via ChatGPT and returned as readable answers.

Used markdown files from a competitive programming algorithms website to create vector embeddings for RAG use on a vector database

Competed in the 2024 ICPC Rocky Mountain Region, placing 8th overall and 2nd among BYU teams, which strengthened my teamwork and problem-solving skills.

Made the Dean's List at BYU, ranking in the top 5% of my college for my final semester.

Serving as a BYU CPC advisor between Fall 2024 and Winter 2025, mentoring students in algorithms and supporting club activities and fundraising.

Worked as an undergraduate researcher on Relative Finder, connecting frontend to backend, fixing bugs, and assisting with deployment for an app with over 1.1M users.

Worked on the frontend of Reverse Indexing, an app for human-in-the-loop validation of handwriting recognition model predictions.

Contributed to various BYU FHTL web apps, gaining full-stack experience including Terraform and GitHub Actions for deployment and management.