Showcased Project

I built MTG Deck Completion, a recommender that completes 100-card Magic: The Gathering Commander decks from a partial decklist. It is trained on a dataset of 189K real decklists that I collected and released publicly. You can try the live demo, or read more about the project here.

Bio

I was born in Seattle, WA and finished high school right across Lake Washington in Bellevue. While living in the Pacific Northwest, I enjoyed biking around Lake Sammamish and exploring several parks around the Eastside, such as Central Park in Issaquah and Luther Burbank Park on Mercer Island.

In April 2026, I graduated from the University of Toronto with an Honours Bachelor of Science, majoring in Computer Science and minoring in Mathematics. My coursework included Neural Networks and Deep Learning, Machine Learning, Computer Architecture, Operating Systems, Compilers and Interpreters, and Parallel Programming.

Skills

• Languages: Python, Java, C, C++, JavaScript, TypeScript, SQL, MIPS Assembly.
• Frameworks/Tools: PyTorch, scikit-learn, NumPy, Hugging Face, FastAPI, Django, React.js, Next.js, Spring Boot, PostgreSQL, Docker, GitHub Actions, SLURM, LLVM.
• Concepts: Deep Learning, Transformer Interpretability, Recommender Systems, NLP, Parallel Programming, REST API Design.