AI Systems · LLM Agents · World Models · Robotics & Control
Senior at Washington University in St. Louis studying Systems Science & Engineering and Applied Mathematics, with a minor in Computer Science (expected May 2027).
I build distributed AI-agent systems and efficient LLM infrastructure, and investigate physical representations in world models and nonlinear motion planning for robots.
- Industry: AI Engineering Intern at Z-UP (distributed A2A agents, MCP tooling) and AT&T (long-context, multi-GPU LLM inference).
- CMU Min Xu Lab (Aug 2026–present): Counterfactual evaluation and mechanistic-interpretability research on action-conditioned world models, using V-JEPA 2-AC, DINO-WM / JEPA-WM, DROID, and PushT. Targeting a future conference submission; no paper has been submitted.
- WashU Ching Lab (Jan 2026–present): Nonlinear Gramian-based steering, PMP comparisons, and kinodynamic RRT* evaluations on 3D/5D unicycle models. Manuscript in preparation, not yet submitted.
- Earlier research: Minimum-energy controlled gradient flow and nonconvex basin maps in JAX; VLM/LLM robot planning in the WashU Kantaros Lab.
Results are specific to the reported evaluations; they do not establish general causal mechanisms or global optimality.