Public resume
Stanford undergraduate building applied AI systems, evaluation tools, and scientific software.
I am seeking undergraduate research and engineering opportunities where machine learning is close to real scientific data, careful validation, and human outcomes.
Coursework and independent work spanning computer science, machine learning, data analysis, and computational science.
Built real-time motion detection, gesture comparison, auditory feedback, and user-defined gesture features for an AI exercise assistant.
Supported CT and digital-radiography workflows, patient positioning, and high-volume hospital imaging operations.
Built a participatory narrative system with four perspectives, cross-character memory, rewindable decisions, and a live Newtonian simulation.
Analyzed 220 WebArena-lite and Terminal Bench trajectories, audited counterexamples, and developed a prototype reward feature that improved combined AUC from 0.726 to 0.767.
Built a Python CLI that fetches papers, extracts body text, summarizes paragraphs in Chinese with a local model, and exports Markdown plus MP3 narration.