Computer Science student at Texas A&M building backend systems and data tools. Currently a Software Engineer Intern at AMD working on CPU power-management validation infrastructure. Previously at Arkane Digital building AI-powered design-to-code workflows.
- Languages: Python, Java, JavaScript, TypeScript, SQL, C/C++, C#
- Backend: FastAPI, Streamlit, SQLAlchemy, Pydantic, REST APIs
- Frontend: React, Next.js, Node.js, TailwindCSS
- Infra & Tooling: Docker, GitHub Actions, pytest, ruff, Git, MongoDB
- AI/ML: pandas, scikit-learn, Claude API, OpenAI API, ChromaDB
TelemetryBench β A full-stack telemetry analysis tool (FastAPI + Streamlit + SQLite + Docker) that ingests hardware parameter-sweep CSVs, exposes 8 REST endpoints, and uses Isolation Forest anomaly detection to flag unstable runs. Containerized with Docker Compose; CI runs pytest, ruff, and Docker build on every push.
- Asian American InterVarsity (AAIV) β Vision Team & Small Group Leader
- Aggie Coding Club
- Aggie AI Society
- Korean-American Scientists and Engineers Association (KSEA)
- π§ nathanwjchung@gmail.com | nathanwjchung30@tamu.edu
- πΌ LinkedIn

