I now build tools and explore workflows that make agent execution more visible, useful, and easier to evaluate.
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- LoopPrism — A local-first inspector for coding agent sessions, context, timing, and estimated API costs.
- nano-posttrain — A small PyTorch library for learning SFT, DPO, and LoRA.
- OfferPilot — A project exploring tools to help graduates navigate their job search.
- TACC AgentForge — An in-progress course project exploring model serving and a tool-using shopping advisor; initial deployment and smoke tests are complete.


