At University of Massachusetts Global, I develop AI-powered Python applications using FastAPI and local inference engines including Ollama and vLLM. My enterprise automation systems process unstructured documents with 95%+ accuracy using LLMs, RAG, AI agents, and structured outputs.
I also research and benchmark local model-serving approaches, including llama.cpp and vLLM, and develop PyTest suites in Docker environments to support reliable production handoffs.
At J.B. Hunt Transport Services, Inc., I managed telemetry data flow in a production environment with 98.5% uptime and developed Python and PostgreSQL automation pipelines that reduced annual operational overhead by 12%.
At Center of Hope Foundation, I managed IT operations and MySQL databases for 200+ users, maintaining 99.9% network uptime. I also designed automated database backups and Docker development sandboxes, with zero data loss incidents.
