CS & Physics @ University of Chicago · MTS Intern @ Tensormesh

I build AI systems at the boundary of models, infrastructure, and evaluation, with a growing focus on autonomy and real-time inference.

Currently working on GPU management, LLM observability, inference infrastructure at Tensormesh.

• Tensormesh — integrated Phoenix into the observability stack with OpenInference tracing for LLM router traffic, plus SDK/CLI trace inspection and production rollout support.
• Hostess — Docker Compose for production.
• Redis Operator — Redis Kubernetes operator for managing instances at the pod level.
• AutoMoE — MoE-based self-driving system using PyTorch, CUDA, CARLA, and Hugging Face datasets.
• Launchpad — AI research matching platform with semantic search and LLM-based fit scoring.