Computer Science undergraduate at the University of Wisconsin–Madison.
I'm passionate about building AI systems that bridge technology and society — with a focus on misinformation detection, AI safety, and responsible implementation.

I’m particularly interested in how large language models can be made not only powerful, but reliable, transparent, and socially trustworthy.

• Exploring LLM-based fact-checking systems
• Building small-scale Retrieval-Augmented Generation (RAG) pipelines
• Experimenting with structured claim verification and schema validation
• Implementing directional reasoning and evidence alignment logic

• Implementing ML models with LightGBM, CatBoost, and XGBoost
• Practicing model evaluation, cross-validation, and hyperparameter tuning
• Feature engineering for structured datasets

• Building web applications with React + TypeScript
• Designing APIs using REST and gRPC
• Integrating frontend and backend systems in full-stack projects

• Using Elasticsearch for retrieval tasks
• Working with Docker for reproducible environments
• Managing projects with Git and GitHub workflows

AI is increasingly shaping public discourse, decision-making, and governance.
I believe technical innovation must be paired with responsibility and real-world applicability.

My long-term goal is to contribute to trustworthy and human-centered AI implementation — helping connect global research with practical deployment, especially in Japan.

• Global Leaders Scholarship (Full Ride)
• Dean’s List, UW–Madison
• Leadership in global education initiatives

I’m always open to collaborating on projects that explore the intersection of AI, society, and governance.