AI / LLM Engineer — I build production agents, RAG pipelines, and the tooling that keeps them reliable.
Software Engineer at Enidus USA, where I build enterprise AI for T-Mobile for Business — multi-tenant LLM tool-calling backends, hybrid retrieval, and LangGraph agents. M.S. in Computer Science from Indiana University Bloomington.
| Project | What it does | Result |
|---|---|---|
| muteval | Mutation testing for LLM eval suites — degrades a system on purpose to check your evals actually catch regressions. | 0→72% mutation score |
| smolAmem | Multi-tier long-term memory for agents: working, episodic, and semantic. Published on PyPI. | 1.000 recall@5 |
| ToolPicker | Hybrid BM25 + semantic router for agents with too many tools for the context window. Published on PyPI. | 0.970 precision@3 |
| DocChat | Answers library questions from the exact version your lockfile pins. VS Code extension + MCP server. | 0.854 version accuracy |
Languages
AI / LLM
Backend & Data
Infrastructure
